{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# matplotlib API入门\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x19158cf5668>]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW4AAAD8CAYAAABXe05zAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x19155df4160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(np.arange(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Figure和Subplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x19158adc470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x191592eb3c8>]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX4AAAD8CAYAAABw1c+bAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\njDFJxhK/McYkGUv8xhiTZP5/YQ7Js1X42JwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x19158e8f048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax_1 = plt.subplot(2,2,1) # 绘图板2行2列，选取第1个。先行再列这么数。\n",
    "ax_1.hist(np.random.randn(100), bins=20, color='k', alpha=0.3) # 直方图\n",
    "ax_2 = plt.subplot(2,2,2)\n",
    "ax_2.scatter(np.arange(30), np.arange(30) + 3 * np.random.randn(30)) # 散点图\n",
    "ax_3 = plt.subplot(2,2,3)\n",
    "ax_4 = plt.subplot(2,2,4)\n",
    "plt.plot(np.random.randn(50).cumsum(), 'k--')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x0000019158D4F710>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x00000191593D4080>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000019159439358>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x000001915948AA58>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x00000191594F0F98>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001915954C7B8>]], dtype=object)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAD8CAYAAAB6paOMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nBGZmiXMhMDNLnAuBmVni/j+QqnKVrD+zPAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x19158d735c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 3) # 2行3列的布局\n",
    "axes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# subplots的选项\n",
    "# nrows：    subplots的行数\n",
    "# ncols：    subplots的列数\n",
    "# sharex：   所有subplots应该使用相同的X轴刻度（调节xlim将会影响所有subplot）\n",
    "# sharey：   所有subplots应该使用相同的Y轴刻度（调节ylim将会影响所有subplot）\n",
    "# subplotkw：创建subplot的关键字字典\n",
    "# **fig_kw： 创建figure时的关键字，比如figsize=(8, 6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 调整subplot周围的间距"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x19159339320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEv8H+/eZcuvcLrIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x19159339b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots_adjust(left=None,\n",
    "                    bottom=1,\n",
    "                    right=2,\n",
    "                    top=3,\n",
    "                    wspace=4,\n",
    "                    hspace=5) # 可以自行调整参数查看效果\n",
    "# plt.subplots_adjust(wspace=0, hspace=0) # 可以只设置某几个参数\n",
    "fig, axes = plt.subplots(2, 2, sharex=True, sharey=True)\n",
    "for i in range(2):\n",
    "    for j in range(2):\n",
    "        axes[i, j].hist(np.random.randn(500), bins=50, color='k', alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 颜色、标记和线型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x19159b982e8>]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW4AAAD8CAYAAABXe05zAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nMypuERE/8//S71OlWz6B+gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x191596126a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(10)\n",
    "y = np.arange(10)\n",
    "plt.plot(x, y, 'g--')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x19159c089e8>]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW4AAAD8CAYAAABXe05zAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAGClJREFUeJzt3XmQldWZx/HvYVVQBLVH44KNSYwiiGjDIIzGAXVcUDDu\nBnFDdKJRo5alZhwny1iZMSqLCiIICTA6DqAwIuIGMRo1IhgV0AlxYREFxH1D6DN/HDosYbnd9O33\nLt9PFdXd12v3U2/ZP1+ec97nhBgjkqTi0SjrAiRJtWNwS1KRMbglqcgY3JJUZAxuSSoyBrckFRmD\nW5KKjMEtSUXG4JakItMkH9901113jZWVlfn41pJUkl566aUVMcaKXN6bl+CurKxk1qxZ+fjWklSS\nQgjv5PpeWyWSVGQMbkkqMga3JBUZg1uSiozBLUlFxuCWpCJjcEtSkTG4Jak+zJvXYD/K4JakbfHp\np3DZZXDggTB5coP8yLw8OSlJZWHaNLj4Yli8GK64Anr1apAfa3BLUl3cdx+cfTYccAA8+ywcdliD\n/WhbJZKUqxhhxYr0eZ8+cMstMGdOg4Y2GNySlJulS+EHP4Bu3eCLL6BFC7jmGmjevMFLMbglaUti\nhHvvTS2RRx9NPe1mzTItyR63JG3Ohx/C6afDE0/AEUfAPffAfvtlXZV33JK0Wa1aQZMmMGwYzJhR\nEKENBrckbWjePOjdG5Ytg8aN4ZFH4JJLoFHhxGXhVCJJWVq1Cn75S+jcGZ5/Hl5/Pb0eQrZ1bYLB\nLUmzZkGXLnDjjWnnyLx5qaddoFyclKTbbkv7sydPhpNOyrqarTK4JZWn3/0OdtsN9t8fhg5N/ezW\nrbOuKie2SiSVl08+gX/+ZzjySPjZz9Jru+xSNKENBrekcvLII2mK34gRcNVVMHJk1hXVia0SSeWh\nZijUgQfChAnw93+fdUV15h23pNIVIyxfnj7v0wduvRVmzy7q0AaDW1KpWrIE+vZNk/tqhkJddVXm\nc0bqg8EtqbTEmGaKtG8Pjz+eFiJLIKzXl1OPO4TwE2AAEIFXgfNjjF/lszBJqrUPP4RTTklzRY48\nMgX4d76TdVX1bqt33CGEPYHLgaoYYwegMXBmvguTpFrbaSfYfvu0a+Spp0oytCH3VkkTYPsQQhOg\nBfBu/kqSpFp47TU47jh4//00COrhh+Giiwpyxkh92WpwxxiXAL8GFgJLgY9jjI9t/L4QwsAQwqwQ\nwqzlNau4kpQvq1alB2gOOSTNGvm//0uvl3Bg18ilVdIG6AO0A/YAWoYQ+m38vhjjiBhjVYyxqqKi\nov4rlaQaf/wjHHoo/Nu/wWmnwfz5cPjhWVfVYHJplRwFvBVjXB5j/AaYBHTPb1mStAWDBqWFyP/9\nXxg/HnbdNeuKGlQuu0oWAt1CCC2AL4FewKy8ViVJG5sxA3bfPZ39OHRoOplmp52yrioTufS4XwAm\nALNJWwEbASPyXJckJR9/nA7o7dkTfvGL9Nouu5RtaEOO+7hjjDcBN+W5Fkna0JQp6QGa996Da65Z\nN82vzDlkSlJhGj8e+vWDjh3hoYfSCTUCfORdUiGJMe3HhnSE2O23rztWTH9lcEsqDIsWwYknQvfu\naSjU9tvDlVeW3JyR+mBwS8pWdTXcfXeakz1jBlx+OTRvnnVVBc0et6TsrFyZWiK/+x306pVmjOy7\nb9ZVFTyDW1J2WreGHXdMR4hdcEFZPK5eH2yVSGpYr7wC//RPaYtfo0bp6ccLLzS0a8HgltQwvv4a\nbropzRiZMwcWLMi6oqJlq0RS/j3/fLqrnjcv7c0eNCg9/ag6Mbgl5d+QIfDppzB1Khx/fNbVFD2D\nW1J+PPkkfOtb6ezHO+5IQ6Fatcq6qpJgj1tS/froIxgwAI46Cn75y/Tazjsb2vXI4JZUfx56KN1h\njxkD110Ho0ZlXVFJslUiqX7UDIXq1Clt8Tv00KwrKlnecUuquxjTfmxIT0AOGQIvvmho55nBLalu\nFi6EE05IQ6E+/zwNhfrxj6Fp06wrK3kGt6Taqa6Gu+5KQ6Gefhp+8hPYbrusqyor9rgl5W7lSujb\nF37/ezj66DQUqrIy66rKjsEtKXetW0ObNjB6NJx7rvNFMmKrRNKWvfxy2pNdMxRq8mQ47zxDO0MG\nt6RN++or+OlPoaoKXnsN/vKXrCvSWga3pL/17LNw8MFw881wzjlpOFSPHllXpbXscUv6W3fdle64\np0+HY47JuhptxOCWlDz2GOy117qhUE2bwg47ZF2VNsFWiVTuPvwQzj8/nUpz883ptTZtDO0CZnBL\n5WzSpHSHPXYs3HBDOvtRBc9WiVSuxo1LC4+dO8O0aWkxUkXB4JbKSc1QqG99C045BT7+GAYOdL5I\nkbFVIpWLt99OfewePdYNhbr0UkO7CBncUqmrroahQ6FDB3juObjmmhTaKlq2SqRStnIlnHgi/OEP\ncOyxMHw47LNP1lVpGxncUilr3Rp22w1++9t0Oo3zRUqCrRKp1MyeDT17wtKlaSjUpElp94ihXTIM\nbqlUfPklXH89dO0K8+fDW29lXZHyJKfgDiG0DiFMCCG8HkKYH0I4LN+FSaqFZ55J+7B/9as0J3ve\nvHSkmEpSrj3uwcCjMcZTQwjNgBZ5rElSbQ0fDqtWweOPp9nZKmlbDe4Qwk7AEcB5ADHGVcCq/JYl\naaumTYO9907b/IYOdShUGcmlVdIOWA6MDiHMCSGMDCG0zHNdkjbngw+gf384/vjUGgGHQpWZXIK7\nCXAIMCzG2Bn4HLhu4zeFEAaGEGaFEGYtX768nsuURIzwwANwwAFw331w440walTWVSkDuQT3YmBx\njPGFtV9PIAX5BmKMI2KMVTHGqoqKivqsURKkoVBnnAFt28JLL8HPfw7Nm2ddlTKw1R53jPG9EMKi\nEML3YoxvAL2AefkvTRIxwrvvwp57wmmnpRkjAwZAE5+dK2e57uP+MTA+hPAKcDBwc/5KkgSkfdjH\nHAP/8A8psLfbDi65xNBWbtsBY4wvA1V5rkUSwJo16eiwG26Axo3hP//ToVDagP/rlgrJBx9A797w\n/PNp18jw4WnLn7Qeg1sqJG3awB57pIXIs892vog2yVklUtZefBG+//20CNmoEUycCD/8oaGtzTK4\npax88QVcey106wYLFsDChVlXpCJhcEtZmDkTOnWCW26BCy9MQ6G6dcu6KhUJe9xSFkaNSkeKPflk\nmp0t1YLBLTWUqVPTsWHrD4Vq6dgf1Z6tEinfVqxIx4b17p32ZEM6UszQVh0Z3FK+xAj335+GQj3w\nANx0E4wcmXVVKgG2SqR8GTs2nUbTpUvqaXfsmHVFKhEGt1SfqqthyZL0tOPpp8NXX6VdI40bZ12Z\nSoitEqm+LFgAvXrB4YevGwo1cKChrXpncEvbas0auPVWOOggmD0b/uVfoIXHsip/bJVI2+KDD+C4\n49Jj6yeeCMOGpdnZUh55xy1tizZtoLIyHSU2ebKhrQZhcEu19cc/pj72kiVpKNQDD8CZZzoUSg3G\n4JZy9cUXcPXVcNhh6XSaRYuyrkhlyuCWcjFjRtqHfdttcNFFDoVSplyclHIxenRqi8ycmWZnSxky\nuKXNmTIF2rVLd9o1Q6Hc5qcCYKtE2tiyZWmxsU+fNC8bYKedDG0VDINbqhEjjB8P7dvDgw/CL37h\nUCgVJFslUo3f/hbOOy8tOo4alQJcKkAGt8pbdTUsXgxt28IZZ8Dq1Sm8nS+iAmarROXrz39Ox4at\nPxTKSX4qAga3ys/q1WnR8aCD4OWX0wEHLjyqiNgqUXlZsSINhZo1C/r2hTvvhD32yLoqqVa841Z5\n2Xln+Pa303yRSZMMbRUlg1ul77nnoHv3dUOh7r8fTjvNoVAqWga3Stfnn8OVV0KPHim0lyzJuiKp\nXhjcKk1PPAEdOsDgwfCjH8Frr0HXrllXJdULFydVmsaNg2bN4Omn03Y/qYQY3CodDz0E++6btvkN\nGZKGQm2/fdZVSfXOVomK3/vvw+mnw8knp3nZAK1aGdoqWQa3ileMMHZsmikyeTL8+7/DPfdkXZWU\ndzm3SkIIjYFZwJIYY+/8lSTlqGYoVPfuaSjU/vtnXZHUIGrT474CmA+0ylMt0tZVV6ezHvfZJ83M\nrq6G/v2dL6KyklOrJISwF3AC4HBiZeeNN9KxYYcfDp99Bs2bw/nnG9oqO7n2uAcB1wLVeaxF2rRv\nvoFf/Qo6dYK5c9MBBy1bZl2VlJmttkpCCL2BZTHGl0IIR27hfQOBgQBt27attwJV5lasgGOOgTlz\n4Ac/SEOhdt8966qkTOVyx90DOCmE8DZwP9AzhDBu4zfFGEfEGKtijFUVFRX1XKbKTozp4y67wAEH\nwIQJMHGioS2RQ3DHGK+PMe4VY6wEzgSeijH2y3tlKl/PPpuOD1u8OA2CGj8eTjkl66qkguE+bhWO\nzz6Dyy9Pi4/vvw9Ll2ZdkVSQahXcMcaZ7uFWXjz2WBoKdccdcNllaShUly5ZVyUVJGeVqDD813+l\nR9R///s0hlXSZhncys7EifCd76RtfkOGpGl+222XdVVSwbPHrYa3dGlabDz1VBg0KL3WqpWhLeXI\n4FbDiRFGj05DoaZOTQ/VOBRKqjVbJWo4Y8bABRekXSMjR8J++2VdkVSUDG7l15o1aShUZSWcfXaa\nK9KvXzq0V1Kd+Nuj/Jk/H444Iv35/PM0FKp/f0Nb2kb+Bqn+ffNNOtTg4IPh9dfT5y1aZF2VVDJs\nlah+LV8ORx8Nf/pTOk5syBDYbbesq5JKinfcqh81Q6F23RU6doQHH4T//m9DW8oDg1vb7umnoWvX\ndUOhxo6Fvn2zrkoqWQa36u6TT+DSS9OpNB98AO+9l3VFUlkwuFU306aloVDDhsGVV8Krr0JVVdZV\nSWXBxUnVzf/8D+y4I/zhD2l2tqQGY3ArNzGmsN5vv7TNb/DgNBSqefOsK5PKjq0Sbd2778LJJ8MZ\nZ6TtfZDutg1tKRMGtzYvRhg1Kg2Fmj4dbrkFRozIuiqp7Nkq0eaNGQMDBqRdIyNHptnZkjJncGtD\na9bAO+/AvvumoVDNmsFZZzlfRCog/jZqnblz07Fh3//+uqFQP/yhoS0VGH8jBatWwc9/Dp07w4IF\n8B//4VAoqYDZKil3y5dDr17pAZqzzkrb/Coqsq5K0hZ4x12u1h8K1bkzTJmSTlo3tKWCZ3CXo5kz\n0+PpixaloVC/+Q2ceGLWVUnKkcFdTj7+GC65BP7xH+Gjj2DZsqwrklQHBne5mDoVDjwwnap+9dWp\np33ooVlXJakOXJwsFxMnQps2MGlSmp0tqWgZ3KUqxnQCzfe+lxYfBw9O+7KbNcu6MknbyFZJKVq8\nGPr0Sdv77rgjvbbjjoa2VCIM7lJSXZ2GQB14IDzxBNx6q0OhpBJkq6SUjBkDF18MPXumwP72t7Ou\nSFIeGNzFbs0aeOutNLmvX7/0qPoZZ6T92ZJKkq2SYvbqq3DYYXDkkWkoVLNmcOaZhrZU4gzuYvT1\n13DTTXDIIfD226mX7VAoqWzYKik2y5alHvbcuWnk6qBBad6IpLKx1TvuEMLeIYQZIYR5IYS5IYQr\nGqIwbaRmKFRFBXTpAg8/DOPGGdpSGcqlVbIauDrG2B7oBlwaQmif37K0gaeeSm2RmqFQo0fDCSdk\nXZWkjGw1uGOMS2OMs9d+/ikwH9gz34WJNAjqoovSvOzPPoMVK7KuSFIBqNXiZAihEugMvJCPYrSe\nKVPSgzT33gvXXguvvJIeXZdU9nJenAwh7ABMBK6MMX6yiX8+EBgI0LZt23orsGxNmQK77AKTJ6fZ\n2ZK0Vog1i15belMITYGHgekxxtu29v6qqqo4a9aseiivjMSYTqA54IDUz/7ss7Qv2/kiUlkIIbwU\nY8zpLi2XXSUBGAXMzyW0VQeLFkHv3unJx7vuSq/tsIOhLWmTculx9wDOAXqGEF5e++f4PNdVHqqr\nYdiw1MueOTPtyb777qyrklTgttrjjjE+A/gMdT6MGQM/+hEcdVQaCtWuXdYVSSoCPjnZ0FavTkOh\nvvvd1BrZYQc47TTni0jKmbNKGtKf/gTduqXDemuGQp1+uqEtqVYM7obw9ddw441pW9+iRamX7VAo\nSXVkqyTfli1LY1fnz4f+/eG229L+bEmqI++482X9oVDdu8O0afCb3xjakraZwZ0Pjz8OnTrBwoWp\nfz1yJBx7bNZVSSoRBnd9+vBDuPBCOOaY1NdeuTLriiSVIIO7vjz4ILRvn9oh11+fdpAcfHDWVUkq\nQS5O1pepU2H33dPHQw7JuhpJJczgrqsYYexY6NAhBfXgwWlfdtOmWVcmqcTZKqmLd96B446Dc8+F\n4cPTay1bGtqSGoTBXRvV1XDnneku+5lnYMiQdcEtSQ3EVkltjB4Nl10GRx+dhkJVVmZdkaQyZHBv\nzerV8OabsN9+cM450KoVnHqq80UkZcZWyZbMmQNdu244FMpJfpIyZnBvyldfwU9/Cl26wLvvwtCh\nafFRkgqArZKNLVsGRxwBb7wB558Pt94KbdpkXZUk/ZXBXSPG1AKpqEjBPWRIenRdkgqMrRKA6dPh\noIPS/uwQ0o4RQ1tSgSrv4F65Es47L03uW70aPvoo64okaavKN7gnTkxDocaNSwuRc+akUaySVODK\nt8c9fTrssQc8+qhT/CQVlfIJ7hhhzBjo2DGd/Xj77dC8OTQpn0sgqTSUR6vkrbfSYuMFF8A996TX\nWrY0tCUVpdIO7jVr0ra+Dh3g+efhrrtg2LCsq5KkbVLat5xjxsAVV6QRrMOHQ9u2WVckSdus9IL7\nm2/gL3+B/feH/v1h552hb1/ni0gqGaXVKpk9O80X6dkzDYVq2hROPtnQllRSSiO4v/wSrrsuTfJb\ntiz1sh0KJalEFX+r5P334fDD4c9/hgsvhF//Glq3zroqScqb4g3u6mpo1Aj+7u/SvOxhw6BXr6yr\nkqS8K85WySOPpC1+b7+d+td3321oSyobxRXcK1ak48NOOCEF9iefZF2RJDW44gnuBx5IQ6Huvx/+\n9V/TDpKDDsq6KklqcMXT437ySdhnn/SxY8esq5GkzOR0xx1CODaE8EYIYUEI4bp8FwWkoVCjRsGL\nL6avb78dnnvO0JZU9rYa3CGExsCdwHFAe+CsEEL7vFb15ptw1FEwYEAKb4AWLRwKJUnkdsfdFVgQ\nY3wzxrgKuB/ok5dq1qxJd9YdO6Y77eHD08M0kqS/yiW49wQWrff14rWv1b/Ro+Gqq9K+7Hnz4OKL\n015tSdJf1VvvIYQwEBgI0LauU/jOPTedsn7SSc4XkaTNyOV2dgmw93pf77X2tQ3EGEfEGKtijFUV\nFRV1q6ZpU+jTx9CWpC3IJbhfBL4bQmgXQmgGnAlMyW9ZkqTN2WqrJMa4OoRwGTAdaAzcG2Ocm/fK\nJEmblFOPO8b4CPBInmuRJOXALRuSVGQMbkkqMga3JBUZg1uSiozBLUlFJsQY6/+bhrAceKeO//qu\nwIp6LKeYeS025PXYkNdjnVK4FvvEGHN6ejEvwb0tQgizYoxVWddRCLwWG/J6bMjrsU65XQtbJZJU\nZAxuSSoyhRjcI7IuoIB4LTbk9diQ12OdsroWBdfjliRtWSHecUuStqBggjuTA4kLVAhh7xDCjBDC\nvBDC3BDCFVnXlLUQQuMQwpwQwsNZ15K1EELrEMKEEMLrIYT5IYTDsq4pSyGEn6z9PXkthHBfCGG7\nrGvKt4II7kwOJC5sq4GrY4ztgW7ApWV+PQCuAOZnXUSBGAw8GmPcH+hEGV+XEMKewOVAVYyxA2n0\n9JnZVpV/BRHcNOSBxEUgxrg0xjh77eefkn4x83POZxEIIewFnACMzLqWrIUQdgKOAEYBxBhXxRg/\nyraqzDUBtg8hNAFaAO9mXE/eFUpwN9yBxEUmhFAJdAZeyLaSTA0CrgWqsy6kALQDlgOj17aORoYQ\nWmZdVFZijEuAXwMLgaXAxzHGx7KtKv8KJbi1CSGEHYCJwJUxxk+yricLIYTewLIY40tZ11IgmgCH\nAMNijJ2Bz4GyXRMKIbQh/e28HbAH0DKE0C/bqvKvUII7pwOJy0kIoSkptMfHGCdlXU+GegAnhRDe\nJrXQeoYQxmVbUqYWA4tjjDV/A5tACvJydRTwVoxxeYzxG2AS0D3jmvKuUILbA4nXE0IIpB7m/Bjj\nbVnXk6UY4/Uxxr1ijJWk/y6eijGW/B3V5sQY3wMWhRC+t/alXsC8DEvK2kKgWwihxdrfm16UwWJt\nTmdO5psHEv+NHsA5wKshhJfXvnbD2rM/pR8D49fe5LwJnJ9xPZmJMb4QQpgAzCbtxppDGTxF6ZOT\nklRkCqVVIknKkcEtSUXG4JakImNwS1KRMbglqcgY3JJUZAxuSSoyBrckFZn/B0pQNNiO89Q0AAAA\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x191595ab390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, y, linestyle='--', color='r') # 线形和颜色"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1915ac636a0>]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAD8CAYAAAB0IB+mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n4BMRxQgGPhFRjGDgExHFCAY+EVGM+P/GFCZXum3viAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x19159c20400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(np.random.randn(30).cumsum(), 'ko--') # 颜色-标记-线形\n",
    "# plt.plot(np.random.randn(30).cumsum(), color='k', linestyle='dashed', marker='o')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1915ac79470>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAD8CAYAAABjAo9vAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1915ac794a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = np.random.randn(30).cumsum()\n",
    "plt.plot(data, 'k--', label='Default') # 使用默认线性插值\n",
    "plt.legend(loc='best')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1915ad39080>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAD8CAYAAABjAo9vAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1915ad39390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(data, 'k-', drawstyle='steps-post', label='steps-post') # 使用阶梯方法绘制图形\n",
    "plt.legend(loc='best')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 刻度、标签和图例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1915adc7f98>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAEfCAYAAABVpe33AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzsnXeYXGXZ/z/39O2b3kMIJIHQAoQqvRkpYkVBKRbA8mJ9\nfUVsqPDDV1+xYQNBioiigCig0gk9BEhCAqQQEtKzyWb77tTn98cpc2bmzO7Mzuy0fT7XlSszZ845\n8+yZc77nPvdzF1FKodFoNJrawVPuAWg0Go2muGhh12g0mhpDC7tGo9HUGFrYNRqNpsbQwq7RaDQ1\nhhZ2jUajqTG0sGtGBBGpE5F/ikiniPxVRD4mIg+Xe1wjgYhcIiLPFLC9EpF9zde/FZFvm69PEpHN\nRRrjLPN7fMXYn6ay0cKuQUQ2iEhERManLX/VFINZw9jth4BJwDil1IeVUncqpc4Y5vhuFZFrhrPt\nML/vSRH5dDn2rZT6jFLqByPx3bkiIleLyB/LOQZNYWhh11i8DZxvvRGRg4D6Ava3F7BGKRUbakVt\nRWo0xUULu8biDuAix/uLgdutNyJyhIjsEBGvY9kHRGR5+o5E5HvAd4CPiEiPiHwq3V1hPgl8XkTW\nAmvF4KcislNEukTkNRE5UEQuAz4G/I+5r3+6Dd7c3+dEZK2IdIvID0RkHxF5ztzf3SISMNcdIyIP\niEibiOwxX083P7sWOB64wfy+Gxz7/4KIrBeRXSLyYxFxvX5E5FgRecl0Q70kIscOtu+0bTOeTkTk\nKvM7N4jIx9y+01zvSRG5TkSWmH/z/SIyNsu6U0XkHyLSLiLrRORSc/ki4CrHb5fx+2qqAKWU/jfK\n/wEbgNOA1cD+gBfYjGF1K2CWud7rwHsc290HfDXLPq8G/uh4fwnwjOO9Ah4BxgJ1wLuBl4FWQMxx\nTDHXvRW4Zoi/QQH3A83AAUAYeAyYDbSYY7/YXHcc8EGMJ5Im4K/A3x37ehL4tMv+nzDHOxNYY63j\n/NvMz/cAFwI+jKegPRguqcH2vW/63wqcBMSA64EgcCLQC8zLcgyeBLYABwINwD3WbwDMMr/HZ75f\nDPwaCAELgDbgFLffTv+rvn/aYtc4saz204E3METCyW3AxwFMS/DdwJ8K+L7rlFLtSql+IIohsvsB\nopR6Qym1Lc/9/Ugp1aWUWgWsBB5WSq1XSnUC/wIOBVBK7VZK3aOU6lNKdQPXYojmUPyvOd53gJ/h\ncF05OAtYq5S6QykVU0rdBbwJnJPn3+Lk20qpsFLqKeBB4LxB1r1DKbVSKdULfBs4z/mUBSAiM4B3\nAV9XSg0opZYBvyf1iU1TxWhh1zi5A7gAwwK93eXzPwLniEgDhrg8PQzxdbLJeqGUehy4AfgVsFNE\nbhSR5jz3t8Pxut/lfSOAiNSLyO9EZKOIdGFYr63pAjjYeIGNwFSXdaaan5G27rQcxu/GHlOkh/pe\ni/Qx+oHxaetMBdrNm1oxxqipMLSwa2yUUhsxJlHPBO51+XwL8DzwAQxXwx2FfmXa/n+hlDocmA/M\nBb7mtl4R+CowDzhKKdUMnGAulyG+b4bj9Uxgq8s6WzFcWKStaz395Pu3jDFvpEN9b7YxRoFdLmMc\nKyJNRRqjpsLQwq5J51MYvtbeLJ/fDvwPcBAu4j9czMnZo0TEj+FHHgAS5sc7MHzlxaIJw4LvMF1K\n3037PNv3fc2ceJ0BfBH4i8s6DwFzReQCEfGJyEcwblQPDLHvwfieiARE5HjgbIw5gWx8XETmi0g9\n8H3gb0qpuHMFpdQm4DngOhEJicjBGL+7FeK4A5iVbXJYU/noH06TglLqLaXU0kFWuQ/DIr1PKdVX\nxK9uBm7CmGjcCOwGfmx+djMwX0Q6ROTvRfiun2FM2O4CXgD+nfb5z4EPmREzv3Asvx9jgncZhq/7\n5vQdK6V2Y4jvV82/4X+As5VSltWcbd/Z2I5xTLYCdwKfUUq9Ocj6d2BMwG7HmBj9Qpb1zseYUN2K\n8Zt+Vyn1qPmZdePYLSKv5DBGTYUhSumnLk1+iMhbwOUOIah5REQBc5RS68o9lmyIyJMY0Sy/L/dY\nNOVFW+yavBCRD2L4YB8v91g0Go07OuNPkzOmRTgfuFAplRhidY1GUya0K0aj0WhqDO2K0Wg0mhqj\nLK6Y8ePHq1mzZpXjqzUajaZqefnll3cppSYMtV5ZhH3WrFksXTpYRJ1Go9Fo0hGR9KxmV7QrRqPR\naGoMLewajUZTY2hh12g0mhpDC7tGo9HUGFrYNRqNpsbQwq7RaDQ1hhZ2jUajqTG0sGs0mrKys2uA\nGxe/hS5vUjx0ETCNRlNWPn37UlZs7uQ9B05hxtj6cg+nJtAWu0ajKTkPvbaNhdc8SiSWYN3OnnIP\np+bIWdjNFlpLRGS5iKwSke+Zy8eKyCMistb8f8zIDVej0dQC1z74Brt6wmzp6KcvYnTuC8fiQ2yl\nyZV8LPYwRi/MQ4AFwCIRORq4EnhMKTUHeMx8r9FoNFlprfcDsKNrwF42ENUl/otFzsKuDKxnJr/5\nTwHnAreZy28D3lfUEWo0mpqjOZQp7OGYFvZikZePXUS8IrIM2Ak8opR6EZiklNpmrrIdmJRl28tE\nZKmILG1rayto0BqNprrxeQWArv6ovUy7YopHXsKulIorpRYA04EjReTAtM8VhhXvtu2NSqmFSqmF\nEyYMWU5Yo9HUMB4xhP3J1UkjT1vsxWNYUTFKqQ7gCWARsENEpgCY/+8s3vA0Gk0tEk8Y9t9jbybl\nIqKFvWjkExUzQURazdd1wOnAm8A/gIvN1S4G7i/2IDUaTW3RE45lLNMWe/HIx2KfAjwhIiuAlzB8\n7A8APwROF5G1wGnme41GM0pIJBSPvr4jr8zRvoiLsEe1j71Y5Jx5qpRaARzqsnw3cGoxB6XRaKqH\nu5du4sp7X+NHHzyY846YkdM2veFMEdcWe/HQmacajaYgtnT0A7DZ/D8XXC12LexFQwu7RqMpOb2R\npMX+zNdPBnS4YzHRwq7RaAoiGjd869s7c7PYo/FESgTMuIYgoKNiiokWdo1GUxBvbu8C4IX17Tmt\n3zOQ6oYJ+T0EvB7tiikiumyvRqMpCKs6Y3+OUS07u8MAfOX0uew1rh4RIeDzENa1YoqGFnaNRlMQ\n0bghyAM5Cvs202VzzD7jOGLWWACCPo/2sRcR7YrRaDQFYfnYc3WlbNpjCPvU1jp7mSHs2mIvFlrY\nNRpNQVgWeySWIJEYOklp+aYOxjcGmNoSspcF/V49eVpEtLBrNJqCsIQdcrPad/eEmdJSh5iFwEC7\nYoqNFnaNRlMQsbiiPuAF4J5XNqckH/WGYynCD0ZDjZA/VXqCPg/9evK0aGhh12g0w0YpRSyhaAoZ\ncRjf+vtKrrr3NQD6I3EO+O5/+PbfV9rrR+MJ9vRFCPm9KfupC3hznnzVDI0Wdo1GM2ysidPGYDLA\nbvnmTgA27O4F4M8vbbI/+/RtS3lzezdBX5qw+7WwFxMt7BqNZthYbpbJjonQt3f1kkioDH/7rp4w\nT60xGmsE01wxdQEv/REt7MVCC7tGoxk2lrDPndSUsnx710CKr/3jv3+R+5dttd+nR8CE/F7W7uyx\nG3BoCkMLu0ajGTaWK2bv8Q2cst9EO4Rx1dYuLrjpRXu9Z9btSiklkG6dv/DWbgDueH7DyA54lKCF\nXaPRDBvLYg/6PNxyyRHcfMkRAGw0/esAHzp8OgCrtnbayzbt6UvZz9bOASBZbmBTex//WbV95AZe\n42hh12g0wyZmWuw+jyElVthjZ3/UXmfWuHoAnl+/2172mRP3SdlPkzn5+usn32JPb4SP/f5FLr/j\nZT2hOky0sGs0mmETMS12v88SdkOg23sj9joNpmh3D8RoDvl46AvHc/6RM1P286dLj7Zfr9raxXbT\ngrcKjGnyI59m1jNE5AkReV1EVonIF83lV4vIFhFZZv47c+SGq9FoKgmrKXWDaalbFvuevkxhB/jU\ncbOZP7U5Yz/7Tmy0X+/uDVMfNPZjCbwmP/Kp7hgDvqqUekVEmoCXReQR87OfKqX+r/jD02g0lUoi\nofj8na8AMLYhABjx6JBqsTc5hH3OpEbcCPqSNuae3ojt4ukOR13X1wxOPs2stwHbzNfdIvIGMG2k\nBqbRaCqb9bt67X6nVhckj0cI+T0pTTea6/z261P3n+i6L48nWTemvTdiT8p29Wf2RtUMzbB87CIy\nCzgUsOKZrhCRFSJyi4iMKdLYNBpNBePQYsY0JMXbmYX6x08dRV0gmWWannHqRk84bgt794C22IdD\n3sIuIo3APcCXlFJdwG+A2cACDIv+J1m2u0xElorI0ra2tgKGrNFoKgFnZqlTzJ3JSuMaA/g9+cnM\nnr4IVp5S14C22IdDXkdcRPwYon6nUupeAKXUDqVUXCmVAG4CjnTbVil1o1JqoVJq4YQJEwodt0aj\nKTPOUERnCd4FM1rt11NaQvh9Qi68/K3TGN8YZMueZFNsbbEPj3yiYgS4GXhDKXW9Y/kUx2rvB1am\nb6vRaGqPbD1OT9nP8KPffPFCWusDdoz7UIxrDDKuIWD77UFb7MMln6iYdwEXAq+JyDJz2VXA+SKy\nAFDABuDyoo5Qo9FUJNmShxbOGsubP1hkl+b1e3Oz2MEoBrZ6R7f9vqtfW+zDIZ+omGcAt1/ooeIN\nR6PRVAv9EcPH/pfLjs74zFlv3ecdXh7k9DF12mIfJjrzVKPR5MzFtyzhw799Dki6Yqa01A22CX5P\n7hb7sk0d9uuBaILlmzp40VGKQJMbWtg1Gk3OPLWmjZc27GHWlQ/SYWaXtjji1N3w52GxL9wrGS39\nldPnAvDsul3DGOnoRgu7RqMZFm09YQJeD811g3t0faaP3ZuD5X7ZCbPt1xccNdNscq17oeaLFnaN\nRjMstnUMMK4xkBLq6IZlsTvDILMRMEsLWCUGQrpl3rDIJypGo9FobLZ29DO+MTjkeiG/l7suPZr5\nUzKLf6VjCbvPtO6DPg8DUW2x54u22DUazbAwhD2Q07rH7DOOlvrBffEAAdO695hPASG/l3BMW+z5\nooVdo9EMi62dAzlZ7PlgWexWUbCQX1vsw0ELu0ajyUosnuB//ractTu62eMoxWsxbqSE3XTbB31e\nBrTFnjfax67RaLKycmsXdy/dzJodPcStylwOGoNDV2vMB8sV43VY7GFtseeNFnaNRpOVHjPz05k4\n5MSZYVoMrAgacfjYrS5NmtzRrhiNRpMVZ4s7N5ydj4qBZal7TWGvD3jpC2tXTL5oYddoNFlZvGbw\n3gm5NM7IByvMcUprCICmkJ8uXbo3b7SwazSarGzvSm0mvf+UZn7+0QUj9n0Tm0Ncf94h3HjhQgCa\nQ366dSGwvNHCrtFospI+cfmBQ6dx1kHJFgyKzAnVQvnAYdOZ0GRE2zTX+egJx4jF9QRqPmhh12g0\nWXGGGr7/0Gl8/Oi98Hk9nLdwOgCq+LqeQlPISGrSE6j5oYVdo9FkxVmn5UcfOthuTC1ma4YR1nWa\nQ0bgXle/FvZ80MKu0WiyEo4lOGneBBZ/7eSU8ruWwPvyqLU+HJrNksB6AjU/dBy7RqPJykA0zuTm\nEDPH1acs/8oZcwn6PJy7YNqIfn+TZbFrYc8LbbFrNJqshGMJ11j15pCfb5y5v10CYKRoNn3sD6/a\nMaLfU2vk/KuIyAwReUJEXheRVSLyRXP5WBF5RETWmv+PGWpfGo2mOhiIxoueXZoPlrDf+tyGso2h\nGsnndhsDvqqUmg8cDXxeROYDVwKPKaXmAI+Z7zUaTZWjlMpqsZeK6WOS/VR1yGPu5PyLKaW2KaVe\nMV93A28A04BzgdvM1W4D3lfsQWo0mtLTF4mjFDQEyzcV5/EI3zl7PoBOVMqDYd2KRWQWcCjwIjBJ\nKbXN/Gg7MCnLNpeJyFIRWdrWNniaskajKT+WkFqx5OVCR8bkT97CLiKNwD3Al5RSXc7PlFKKLKGt\nSqkblVILlVILJ0yYMKzBajSa0tFtCqkVmVIuWixh17HsOZOXsIuIH0PU71RK3Wsu3iEiU8zPpwA7\niztEjUZTDrpsi728wt6sQx7zJp+oGAFuBt5QSl3v+OgfwMXm64uB+4s3PI1GUy6SFnt5XTGNprB3\na2HPmXws9ncBFwKniMgy89+ZwA+B00VkLXCa+V6j0VQ5lo+9ucwWu9VVKRpPenmVUlz30Bssz9IA\nZLST8y+mlHoGyJY/fGpxhlN97O4J01Lnx+fVuV6a2qJSJk+tayuWSIY7hmMJfrd4PTc9vZ71151V\nrqFVLFqNCiAaT3D4NY/yzftWlnsoGk3RqZTJU7/XsCejsaTF/rNH1wLg0oY1Z3b3hGu2aqQW9gKw\n+kH+ZemmMo9Eoyk+3QMxvB6hPlC+zFNI9kGNOiz23z71VsH7PfyaRznj+qfoj8Q58cdP8MjrtVO2\nQAt7AfRGavNur9GAYbE3Bn12Y+lyYVWQjMWLXyR4a+cAWzv72bi7j0tvX1r0/ZcLLewF0Kub7A4L\npRTbOvvLPQzNEPSE4zSWMevUwu+zJk8Ni10VobuHcx+RWPJJoFbOSy3sBVCr/rmR5g/PbuCY6x5n\n3c4eABZe8wi3Pvt2mUelSWcgFifoL79E+D2pUTHhmHvNmIFonE/f9hLrdnYPuc8BR8s/ZzORY657\nvJChVgzl/9WqkJc2tPPyxnZ6tbAPi7uWvANAR1+EaDzBrp4IV//z9TKPavQxEI3zqyfW0R9xf/IM\nR+OEfOX1r0Ny8tQqApY+Xut8emlDO4++sZPv3L9qyH06Y+L7o6n7G4hW/5O4FvZh8OHfPs8Hf/O8\nzoQbJnv6jOMWjSv6soiKZuS54fF1/Pg/q7nv1S2un4djCUIVYLF7TR/7i2+3s7snnCHE37j3NZZt\n6uDCm5ekrD8YXY6CYuku1R1dA4UOueyU/1erYlZtNUrlTGoOlnkk1YUV8j8QjWe1FjUjz6Y9fUCm\nxWpR7lrsFiKCR+CZdbv4+M1LXI2B3z75Vsr6Q+G02NMzWtu6wwWMtjLQwl4AKzYbWW8+jz6M+eA1\nL7z+aJw+HVlUdrZ1uE8YDkQTFSHskIxXf2Nbl20M7D2+wf58XGPAfr14TRsX3vzioPtzWuzp5YBr\noTywVqQC2LLHuCCcGXGaofGaPtO+SFy7YsqI5RLLJmSGxV5ZEhHye+gOG+N2Pimnx8k8vXbXoPtx\nWumbzSeXP336KKA2io1V1q9WZWwxLZ2RiK+tZVItdi3s5SAci/PKxj0AtPdFSKSlcN7w+FrW7uyx\n67RUCvtObGRXTwSAvcYmLfZ2c1muOG9mNz1tRGRNbgkBqdZ8tVJZv1qVYYVfRXXLrrzwmJNb3/77\nSjr7q986qka+8/dVdrjuI6/v4Op/pkaS/N/DawBo66ksf3NfOG77wGeMTbbNa+/NV9gzz7uprXVZ\nP6s2tLDniVtyRLyQghWjEL9jTsKKZdcUxoU3v8isKx/Mec7i+fW7U97f/vzGlPdNZmLSFafMKc4A\nC+TbZ89nWmsdXQMxdvWE8XmE4+ckG/bs7s28AQ2WyOTmfgr6PPg8YpcKqWa0sOdJegTB3EmNRLWw\n54Wz5sfO7uoPLasELJ/y8k2dOa0/WEigUopoIsGnj9ubo2ePK8r4CuVTx+3NWQdPYVdPmN88+Rax\nhOKQGa38/KMLANhtWuwPfeF4ppmWd2yQ69JN2EWEuoC3JtyDWtjzJL1Q0KTmkO6enicpKdwdhrDn\nEnuscSccSwpRrpmibkk4m9qNScTO/igD0YTtc64UmlzKG5xz8FREoMOcCN5/ShMXHbMXkHqepdOV\nxQVYH/DWRAiuFvY8SS8j0FznJ6HImHzSZCccS3DozFYAtnVpYS8UZ4JNOJqbkTFnUlPGsvuXGYlK\nlr96fGNl5We4lQ/2eMQWfK9HEBECZm2ZQYU9zWJ/5usnA7CjK8xflm6q+rkfLex5Ek07WaxGu4M9\n9mlSicQSTG42rMEtZqiZNy2p5N5XNnPJH5aw5O12e9nbu3r5wK+fpbOvui+6YuMsbeG03gejzu9h\nv8lNHDC12V62zOxGZNViqbRQx+a6ZMOPq87cz349psGIYbeqQNrCPsiTdPoEqXU+Wjz2RnWX8K2s\nX64KSD9ZmkOWsGt3TK70R+NMH1OH3yt26Fr68fvK3ct5cnUb5/3ueXvZLx5byyvvdPDw69tLOt5K\nx+kvzlYgK52+SJz6gDfFKreeRq19BCugTowTZyencw6Zar+eObYeSNZtt0I0B7PYuwdizJ3UCMBe\n4+ozOqDtzjN8stLIp5n1LSKyU0RWOpZdLSJb0nqg1jTpJ0tznfEYqC323BiIxonEErTWB5jksJKi\ncZXVnWXNYXhMqz5RhLKttYQzoSZXYe8Jx2gI+vjIETMAI3Sw33TjhE3/e9BXWXaf0xXTWpfMNJ01\nzohn93lTLfbBjkV3OMoBU1tY/LWTuevSozM+z1ZmoVrI55e7FVjksvynSqkF5r+HijOsyiWSlozU\nEDCFXScp5YSzQXL6hZft0fmfK7Zy0S1LUAxetnW08tEbX7Bfh3MUpK7+KM11fs48aAprrnkP86c0\n29vaFnuFuWKcwu50E42pNyx5y51n3ZBe2tCetVJj90CMppCPmePq7fh1gDqzhEIuTXTW7uiu2InW\nnH85pdRioH3IFWuQtTu6WbnFCCOLxBIEfB6+9u55TG4O2SdYLZT6LAWWddlc57f9nCfNM+KRI/EE\nsXiCWVc+mLLNl/+ynMVr2li8pg2AF9ePytMwJ3K96XUNxGw3YsDnoc7vta3USnXFNDtcMc5CX5bv\n3Qp5HGe6l75x72v877/fzNiPUsoW9nSevfIUwEiEGoyBaJzTf7qYL/z51Tz/itJQjFvyFSKywnTV\njMm2kohcJiJLRWRpW1tbEb62dHzi1pc4+5fP0BeJEYklCHo9fP7kfXnhqlOpMy32Woh9LQUPrdgG\nGBepldhlTVxFYgm7fokblj9+/a7eER5l9TKYX9mJYbEnha3OEeZnTcBWmivGOXnqJJhWqGze5GTE\njxVO66QvEieeUCk+e4uxDQGmtdZlWOz/WbWdN7d32e83m3WiHnl9h230VRKF/nK/AWYDC4BtwE+y\nraiUulEptVAptXDChAnZVqtIrB/xhB89yS3Pvm236gJoMBv96iqFuWFZVQtmtNrzEhNNYQ/HEikZ\nhJ98196u+8jV3TAaSBfyXCz2gWiccCyRYgEHfQ6LPVqZFntLFmFPj3Bx/l0zx9VnrN9hhjJm219D\n0JthsV9+x8ss+tnT9nur5DHAf/91+RAjLz0FNTRUStkxQSJyE/BAwSOqYHaZdTOchZHqTYtd9z/N\njWg8wbiGAGMaAlhzoNPHGD7ObR393PNKsunDXi4XJWi3l5P0eOtcwh0tQ8UZ4lcX8NqCXqnhjgCP\nfPmEjGUHTm0B4PrzDrGXzR7fwPpdva7lPvaYxsXYhkDGZ2Bc006L3VmaoK07zHNv7WJbZ/JJoBJr\nRRUk7CIyRSm1zXz7fmDlYOtXG+FYnN8+uT5jud+X9O/Va4s9L2JxZUcv/PUzx3D/si1MbTGE/UO/\nfT5lXTdrC/TkqZPbn99gvw54PTkdm7fajPo8+05stJc1Bn1E4gn6IjH7xhmoMFcMuCdWnTB3Ai9/\n6zTbtw7wwBeO47AfPOLqIrV98VmEfUJTkI27k+6+Xsc+jrj2UQBOnz/JXhatwMCJnIVdRO4CTgLG\ni8hm4LvASSKyAKMc8gbg8hEYY1nY3jnA0dc95vpZfyR58TQErVl0bUXmQjSesOONj5g1liNmjc3q\no0xPGrHQFrvBzu4Bfm12Drrns8dwyS0vZc08/ffKbWzrHODRN3Zw+F5jARjflBTCeaZgrtraRUdf\nBBFcfdCVyri0LNn6gI+WOj93LXmHr5w+lwmOv7XddPdls9intdbx3LpdKKUQETr6MmPandUkq9pi\nV0qd77L45iKOpaLIJupAyg+ddMVoiz0XogllC7tFcxYB8Xs9rLj6DE768ZMpF5K22A2OvDZ5jh6+\n11iCfk9WV8xn/viK/frZdUZlR+fk6AwzyWdnV5hdvRHG1geqvszDji5DwI+49lGe+frJTB9j/I0b\ndvXhEVLCHJ3sNa6e3kic7V0DTGmpcy0vsNtRzjjXCetSUnnPWhXAts7MVmGn7DfRvhCcky7WXT/f\netCjlWgsYXedt5jSmmmZf/X0uewzoYHmkJ+l3zyN2z95pP1ZLKFGfeE1NysxV1eMvb5D2C1/ejgW\nZ3dPuOLqxAyHBTNa7dd3vviO/fq1LZ3MGFufte3fEbOMJ5qlG4xGJG4lLJyZqbnEvJcaLewudPVn\n/lAzx9az+pr38JXT5/KHTxxhLw/5vTQGfVWfglwqYolERo9Yv9dDa33yZvnL8w/lilPn2LHKHo/Y\naeMWm/a49+kcLbgJeMDnySthxmmxWxEw4ViCbZ0DTKyBBu1/viyZUWpFzsQTiqfWtHHyvIlZt9tn\ngjH3YPnZ3Sz27nAMK5R+bL27S6ecaGF3wc2nZlk3Xzh1DgdPb035bFxjwLXQvyaTSFylhItaON0z\nzjogFrPGN3DZCbPtp6VfPrZ25AZZBbjNM2zY3ceDr23LuTKhM7rLEvn+SJx1O3tSJlarFadFbjXP\n6BmIEU8o2/XkRp1ZQ2dTu2E8dGQ5nh89YiYfPGx6SrJUpaCF3QW3H3Kw3o8tdf6qL/NZKmLxBH4X\n3+20LP5OJ1eduT93mg2H507OjI4YTQzmctmdYzs7pyBZ5QOeWL2Tvkicw2ZmzTWsSqy4FTvz2SXr\n1MmYej/d4Sjv7O6ze8NOSatPP7bBT2PQW5Gt9LSwp7G9c4Cn12Zmxg4W+hXyeXWkRo44o2Kc3Hjh\n4Tltb1mSS95u56bFmaGoowXrfJvQFORP5s3OIr2AVS7npuWKsToxnbp/dldFNWJNBHcOkZxkEfB5\niMQSnPDjJ/jry5vxeyWj8cj4xiANQR+9kfigbfjKgRb2NBb9fDF/fOGdjOWD3eGDfg8DOTY4qEb+\nvXI7h/3gkaLcvKKOOHYnE7OENqZjPTk9/uZOrn3ojYLHU61YYY0/OPcAjt13fMpn6T07f/Tv1UPu\nz+sRu55X/enXAAAgAElEQVQ5JKO9agZTd63OSdnKE1gEfakT0QkFY9J86eMbg9QHvMQTquJi2bWw\np9GRpVbJYG3CQv7atdgTCcVn/vgy7b0RNjvSqIdLNJ7I6tb6x3+9i8VfO3nQ7T1pbpxKjCEuBQNW\nPReHH9nq/+ns8qWU4pZn385pn3HT6rzgqJnFGmbZOfOgyQCEzfPEOjaNLm32nATShN0rwuF7pbqn\nxjcGbT9+rg1OSoUW9hxpqcs+8x3ye+keiNVkCN7G9qSY7+wqfII4lsViBzh4emvWbNNsfPO+1woe\nUzWSrOeSvIQPnGak1juF/bdP5e6usrwJzq5K1c4vzz+M2RMa7FjzAbtcwuB1cII+b4qwB3we5k9J\nPS7jGwP28a+03Aot7A6UUimPoxa/PP9Qjp49Nut2IZ+HLR39XHTLkpEcXll4e1eP/XprZ2alvHx4\nbXMnq3d0Z3SrKYS7l24u2r6qCdtidxTqmtQcIuDz8LI52Qfw1Jqdrtvf6gjZTaeaMk6HwusRmkN+\nW3gHcmwiEvB5Uiah/V6hMc0dO74xmBImWkloYXeweO0uYgnFWQdNSempeM4hUwcNabLu/s+9tXvE\nx1hq1u1MCvu2jsJixy+7Yymgs3SLgRWvbpW0AMO9sN/kJjbuTj5luU1UA5w0SBx30xBuimoj4PMk\nm4iY/w9lsQd8HrY7DJmAz5Phvmmp89vRRJVWcVQLu4Mr71kBwLH7juN9C6blvJ2zCt51D72RIobV\nzJvbu/jJw2vs99u6CrPYrciibGIzXEZjqKl1c2xIm+QM+bwpKe7OY/3G9xfx/95/EPd89thB9+3W\ngKKaCfo8dncuK8hhqMqVQZ8npd1lwOexrfymoI+7Lz8Gj0e0K6YaOMOs2PaBQ6fTmkc2mfPu/7vF\n67m4Rlwyi372NOFYgiNnjWXupEbaC8yuLXb7wBsuOBSgKJO61YZVtdCqLmqRXi/GKU51AS8XHDUz\nYxIwnTFZimNVK0Gfx56TGMjRYk931QS8HlsTzjxoCkfuPdZcz5uy30qhtm7NBSIiNId81AXyazCQ\nfpK4Za5WM5NbQvRFY8QShVkl+09pNuYijtmrKOOyUrndSkDUOn22Kyb1Eg54PbQ7rMc+07J/8AvH\n5bzv9LC+aifo89pzEuFYAo/gOpeWvo0Tv9fD2IYAj37lhJSsVesGYHX36uyLsrG9NyM7vdRoi92B\nW/LM7PENQ26XXgXPrYTvhl29fPXu5RV3Z8+Fljo/fq8no5F3vrTW+5naEuL4OYV10HrhG6ey9Fun\n2bHIXRWY+TfS9EVieCTTsjQs9qSw94RjnD5/EgeYzShyYajknWqjPpDsiDQQjRPye4csA5CetzLX\nLGu878SmFNG3ymNcersxf3TODc/w3hueLdrYh4u22B3E4qklZV/59uk5dZHx5lAr4st3L+PVdzo4\nd8FUTphbXa0Bm+t8+L0eogX4EZVS/O3lzUVp3mDlFFgTiF2j0scepyHgyxAoI0wvaTz0ReJ2+8ah\nePcBk/jPqh1VX643nWZHyY9+U9iHwmlx33jh4Rw3Z7zres4b6yvv7OEdMzzYquVeLrSwO4jGEykx\n1tkK8acz2O933UNvML4xaPuX1+3sqRph93mEWELxvgXTWL6ps6CnjQ1mpEYxa1dbddxH4+RpXyRG\nfTBToCx/8k8eXs3bu3rN9XK7zH91wWEpPvlaoaXOT380TiSW4OWNe3IqcDauMXntn3HA5KzrHTy9\nlQOmNrNqaxcf+PVz9vJ4Inu+RinQwu7ArQlELgxm4fzOrGdy4DQjuaGaRGj6mDoOnt7KnElN+L1C\n98DwRXkk6tVbcyHV6N4qlN5IPCMiBpIRIL98fB0AdWZZ6VzweT1UWP/qotDicNlt7xqwJz4HIxer\n3uLEuRNYtbUrZVksocp6LLWP3YFbE4hc8GQx2RMO68cS9J4qiuHuCcfspIxCfew7CgyVdMPvFTxC\nTdfpyUZf2N1iDzgiQMBwPaRHzow2LGHv7I8SjiaGTE6C/IS9zmXdSJmz0HMWdhG5RUR2ishKx7Kx\nIvKIiKw1/6/qWp9uTSByIZvBvstRo31PryHslVjiMxs94Zht7fm9noLqsljCftkJs4syNjCimOr8\nXvqjcdbu6Oa83z3v2u0GjP6glcTTa9t4YrV7VuhQ/HP5Vtp6wtT73Sz2ZASIhZtlP5pwCnsknsiI\neHEjl7k1C7cousffGN5vWyzyUbFbgUVpy64EHlNKzQEeM99XLdmaQAxFemEqC2dBMctSrxaLPRZP\nMBBNOIRdhhT2rR39nPnzp3lxfWYG7vauAQJeD994z34uWw4fqwDbf/9tBUvebueVTXsy1rn3lc0c\nee1jLN/UUdTvLoQLb17CJ/7wUt7brd3RzRV3vcqKzZ2uFntrvZ/0CrLpIZGjDSt6qr0nQjyhcprA\nD+XhR3ET9i/9ZRmPv7kj90EWmZxVTCm1GGhPW3wucJv5+jbgfUUaV1nI1gRiKA6alhlKtqsnbBfo\nd9I9UB3C3htOjZPOJSrmnpc38/q2Lp5ck1nPfmdXmInNwaJHCoRMi73HfBJym5x9crUxnrfaKi8j\nOJ8b/f3LtqQkv7lZ4m5VSNNrnIw2LIu9zaz9UmxXTDZX1/q23pz3UWwK9bFPUkptM19vByYVuL+y\n8txbu4flbjh4eivLv3NGyrJjr3ucK+/NrDzYl0dPynJx7yubOeT7DwPQaFqFft/gPvZtnf08+5bR\npCE9Jb1rIMp9r25x9UUWSshv+JStSW+35DBrcnUkvr9Q8ulR+sU/L0spxOYmKJNd6trnkotRy1jC\n/gezfHEuFnsu4m+R7bwq59N50W7lSiklIlmvfBG5DLgMYObMyqv3vG5nNwDLN3cOa/uW+tSkDrfJ\nk/GNgaqI4LjBjKiApMUeGMLHfsZPF9tPI+mugB+bjR7WjkANHcsVY4WW7XHxsVsdhSoxkC/XOt5u\n542bi8XNYreaM49WLENjzQ7j/Mul2VE296ob2cqPlLPYXaHCvkNEpiiltonIFCDrjIFS6kbgRoCF\nCxdW3DVWis5W01rrXLNSK40uh7vISi9fvrmDzv4o63Z2s+/EzH6jThdT+g1gJEIdLer8Xh57M3na\n7XGx2K1070p8Wso1rt/NhedmsU9sSgr729edSTiWyMutUIukN3ZJbx04GCfPGzrn5IhZYxnfGLDP\nM4tyFgYr1BXzD+Bi8/XFwP0F7q9sjNSP8OHDp9uvp42pqwqL3WlpWEla4xuDAKzc0uW6jZN0YR/J\nR9KMOj29mRb76u3GmPsjlTe/kWtYnBVN9e2z59vL3Cx2y80wvtGYzxjtog6G9e0U91zdX69dfQY3\nXrRwyPW8HuGKU+ZkLE9vUVhK8gl3vAt4HpgnIptF5FPAD4HTRWQtcJr5viqxLrA/DNKAYDiMbQjY\noVMtdQE75vqaB17nvTc8U9TvKhbK4bSwMvC+9u55QG4ld9P7P47kI2l6wtdflm7KqB1jpRNUosUe\nHiIGPxJLsGJzh22xzxpXz7H7jAOyT9o98uUT+PeXji/uQKscp8+8N8cbfFPIn3PCopvfvpzJiDm7\nYpRS52f56NQijaWsWI/E+Uya5MIFR83komNn8c7uPv6zartdkP/3zxgTOW3dYSY0BYv6nYUiJP2L\nlismZHeKcRfHd+07jpfe3kMknuDGxes5bGYriw6cAri7R4qF9QQ0fUwdm/cYjUB2dA7Y5QacSWL5\nPIKPJM6O9kNZ7L94bC03PLGOb521P2A0mY6bf1O2+PQ5kzJdZZoknz1xn6Lv062PbzmL09V85mlv\nOJbTo1d4BIT9vs8dy17jGpjWWscx+4wzJvrShDGfqIhS4Zw3siwWu1NMFpdVNKZS6nzf+eI7AKzY\n3MFbIxj2ZTVgvvb9B3G6WU+/2/GE4DzelXKsnWI+lI99i9m1apkZgx/wiT0f5BbHrnHHuqlf874D\nmegSOVQoVuSNM3O9nKHNNS/sB3z3Pxz1/x4dcj3rAgt4i3exHJJWkznk9xCNK9viAojEK0NsnDgj\nYSzsTjFZrN5wLJ7yONo1EOPrf1sx4iVMLZFrCHj5jGmJOas9Ot0vleKKcd4ch4qKmdpqiJD1NOL1\neGxLsNbqpo8kVnGzkSpJPNZ0WU4fk6zVXs4nxJoXdkiN8khnxeYOEgllX2DBPFKJhyI9ZMqayHJO\noFZaSy2L2RMauPdzyRZqVhp2tonQcCy1BsdAJM5flm4a2UGCfZOsD/hoqTNuSE7fZn8FCrvz97cM\nij29kZRyCDu7B+jsi9rhm32mX9jnEXtC+0CXxDjN4LTWj4yw264/pbjpooUcPXusneRXDkZ1StrL\nG/fwwd88x9cX7cekZsPP7eYry5X7PncsO7vDXH7Hy66fh0zhW/TzxfayShT2/micsw6ekiIcljX+\nfw+v4b9cIgAi8USKxe7zCvtPaeaNbUNH0RRCQlnC7rUnE52PwM6Jsv5oZUTFOCdMrd//0B88QsDn\nYc017wHgyGsfI+T32JPt1no+r/CL8w9l9fbummuIUQpG6phNMfMHzj9yJqfPn8SL63fz2jBzYorB\nqBZ2y3+5cmsnY+qNQvqFWOyHzhyTMjGWjmWxb2rvt5cVsz55sRiIxjOy6YZqvmBUzUtu4/N6Mtw2\nU1ySZwrFmhz1ecX+fufN0lmvp1Isdqf75Yt/XmbPTaSfC86qlZaV7/N4GN8YZPy+lTXhXi201o2M\n+6oh6GP9/zvTfkqvD3jpi8bL1nBjVLhisuE83FbiUC6V3wbd5yA/oltMcaUJeyyeIBpXgx4Ht0nI\ncCzVYg94JeVvmz2hgb999tiM7QrlyjP3J+Q3xM76fuf3/smcxN13YmPFCPu/Xtue8v73T7895DaW\nyA/Vq1PjzvFmB6TxTSM3L+F0vdYHfShVvpLSNW2xD2Y9QzLF/MEV21i9vZupLSHGjJAPDtwjbipO\n2E0LeLB6Gu19EaYF6uz3e3oj7OoJ01yXPJ2icZViOZ+2/ySmtdZRbN57yFTee8hUIOlvt47p27t6\n+cfyrZx18BT6wjG7CFS5+ckja1Le3/rchpT3CZcuRtbcRjm78lQzP/3IAgaicepLVMLYcgv2RmKu\n1R9Hmpq22IfyXzszEdft7GHe5KYRfWxytdjLXJA/HWs8bg1Hrj/vEMAQcifn3/QCAE1BHw9ccRxT\nW0Is29SRMtFaSC33XPF6BK9HiMTjLHm7nW/eZxRh+9hRM2kK+cuaCZgPfS7RFNZNazgdvjRGJq4z\nYmWkserTlCvksaYtdqfLwM3Xta0ztfnC2Ibi+C3nTmpMaYZr4eanrjSL3SrN6yYg48yyAuk3zDe3\nd9vLD5zWYlcg7OyP0hDw0huJF+ziypWA18PWjgHO+93z9rKJTUFa6vyDRkdVEoPdgGqt0XStYhUG\nM6qNlr66Zk0Lu/PR260Y0tNrd6W8V0Wq//fwl090Xe6291yr+5WK2CCWoR3LnmXMCRfX1wVHzaQ+\n4Ctq56TBCPg83PfqlpRlE5pCNNf56OyPlr17fC70hLNnLPqH0eFLU3pazeibjiwdvUaamj5LNrX3\n2a/dml5sT7fYRzjhw83nX2kWe8QRVpdOUthTx3z0bKM58GUnZKZqNwR9fPn0uSXr4uM2N9Ac8tEc\n8hNPqIqZQB2MrR3Z2/h5tY+9KrAt9v6RK6cxGDUt7E5XywW/f5FYPMFWM8RRKZUxmfbVM+aN6His\nColOKi2O3fKFu8Xz2+GEaTP90bji2H3G2THCFx2zl/1Zqfttuo1bROyxjWTdmly495XNAJwwN3s5\n2IscXZLS0VEx1YFVPK+tuzwT9jUt7OnV1b7/wOsc+8PH6eiL0BOOZVjLIz17feC0Fv582dGsuPoM\nvr7I6P1ZaZOnMUdceDrJejGpVm97byQlo+8LpyYTmOZPbR6JYWbFyk1IZ5IZQ79q68gmTA3FV+5e\nDjCsFoyghb1aaA75aQr6Bn36GklqWtjTq6s99JrRxa97IGZPpH33nPnMHFu62fKjZ4+jOeTnctPn\nnH5zSSSUXfCpHEQGmTwNusSJD0TjbNzdy76OLj3OcrJ7l7Et20vfPI0l3zSKj1qhltmygktNtjoi\nbqGOTvTkafUwtTVZcbTU1Law98docIiMM/yuz3w9vjHIE/99kp3KXSo8HsHnkQxXzN9e2cz7fvUs\n/1m1PcuWufHI6zu4/fkNeW+XnDx187FnZnbe+twGEgoOckQBOTu8W4+k5WBCU9DuKLTXuNLdvHMh\nWxjcYKVefR6p+IlfTZJ9Jzay1my5WWpqW9gHokxqCfG+BUYCi5UFFokn7EzTxqAPr0dyanBbbAI+\nT4bFblUmfGpN27D3q5Ti0tuX8p37V+W9bTQ+iMVuumK+9feV9rInVxtt6d617zh7mTMDr1RhjhYv\nfMO9PUDQ5+WkeRM4eHrpC2f99JE1PPFmatfI7oEov/nYYRnrWlEUV58zP+MznZxUXew7sZGNu/tK\nksORTs0J+/JNHSw3XRld/VFa6vwsOnByyjqRWMK22LN1oSkFwTRhV0rxhCmUhdQO7+pPWoPxIR7t\n0xksjj09c/aKu17lhfXtHD9nfEZG34IZrcyeUHo3zOSWEN86a3/XTlhBn6fkrQk37u7l54+t5RO3\nvgQkXSndAzHec9AUe71zzOxZaw5g5rh6/nTpUXzn7PksOsA4f3WoY3XRYNbLL0fkW83FsZ/7K6P+\n91dOn8vTa3dx4twJNAZTywREYkmLvVRheG6kW+wPvraNZ9ftLni/zgnEjr6InViUC9FBXDHOiJNY\nPME/l2/NWG5xz2ePHbKkw0jx6ePdY+ZDfm/Jo5De3pXaZCTk89AbiduumGmtdWzp6OfptcYT2nX/\negMw2igevtcYjt1nPK9tMaoEFrOktGbksa6LcCxBkXIfc6amzhSnlXu9WY+juc7PrPGp/tVIPGHX\nty6nxR7weVKiYpyWdiEP3c6Qvt29+YX3DWaxiwg/OPcAAK7715v2crd1vR7BV2Hp7yGft+QWe3p4\npcf0kVu/+0NfPJ5nvn6yXc/binppcdTdsZaV2q2lKYygv3wWe1GuPBHZICKvicgyEVlajH0Oh9e3\nZdY/bg75MopPXXXva3aMe1ktdq+HJW+324lUIYdFVkgYpFO88k3I2d5lHJdsdatP3m8iADc/k6xI\nWI75ieEQdNQ3LxXtvcnJ0F09Ybtt32dPMpK5Wur8TB9Tzy2XLEzZzunasnzr2mKvLpIWe+mT4op5\nppyslFqglFo49Kojw3qX3prNdX5EhJ99ZIG9bO3OHq5/2LDoy2mxJ5ThNvn4zS8CpFi4hViWTndD\nvr76FZs7GN8YyBoCOtmlX2S1FKYyXDElttgdT0xvbjMiJH778cPsPAaLfSY04hHYaSa0OBO7fKZv\nPaQt9qrCuhFXrcVeLqLxBE+tabN9uW5uh0lNhnPLqrZmYVnEpSrj6YblC9+427DYwwVY2k6cN4V8\nbxAD0QRNIX/WsDo390q1WOwhn2Gxb+ssXWxxu8MVs3mP8Tu7zXmICA1Bn/27O5PlLIs9pC32qsLp\nYy81xTpTFPCoiLwsIpe5rSAil4nIUhFZ2tY2/FA+J39+aRMX37KEg7/3MAA/dPh9LeZObgKMsMZ0\nQn5PeRM+zLlFawgD5gng9UhBwp5isecp7JFYwnXidDDc6sxXIpbP85jrHi/Zd7b3OIXduKFka0Ld\nZJ6jvrTwW+uJSPvYqwvrfKtmV8xxSqkFwHuAz4vICekrKKVuVEotVEotnDAhe52MfLDqqXcPxFix\n2T1bc94kQ9jdfOluYl8OLOvYstiPnj2WZZs62Nk1vHRkp5X+uTtfyWvbaFrv0lzI90ZQLtKf2kqB\n02K3ntCsZtTpWOdounvQMj60xV5dVL3FrpTaYv6/E7gPOLIY+x0Kp1X791e3uq5jPfa6XdTldMMA\nduhLPKGYdeWDXPOgEepm/V1X3PXqsHY73BNp854+Hntz55A+85Pmpd6Yd5ap0FG+lLogGRg+dkvI\nLWHPNjHdGLKEPXWcfh0VU5UkaytVobCLSIOINFmvgTOAlYNvVRzaeyO2ddPemykut30yeX9xE/Fy\nTpwOhnWnz1bQaiiGM/HaNRDluP99Ahg6Eea3Hz885f07jvLIlUw5Mjf39EWYPsaIytrVHR7U/deY\nxWK35jWqZS5DY2CXuS5D39NinCmTgGdEZDmwBHhQKfXvIuw3K/GEIpFQvNPex8yx9QR8Hv6+LNNi\nnzMxWZhqTL2fQ2akdjUqZ6gjwGn7T3RdbtVrGW6R/oFoIkU8+iPxIdOanfXq+6KDdxpKt+jLkTI9\nHEpdZyWRUOzpi9rC3tYdHvSpwRb2YKqwWy6Ycp+vmvywjMn+Ia6nkaBgYVdKrVdKHWL+O0ApdW0x\nBjYYH/j1s1zw+xdYvb2b/SY3pfjKP/muve3XdX5nZIGH+z//rpT9lNtiv/68BTz21cxuS5850Yhx\nHu4cwO6eMGPqA3aI57t/tpg53/zXoNus3p4sVuRMlHLDedP42rvn8cvzM2ueVCKlnifvHogRTyi7\n12Z3OJYh2k5sH7s/9Xe3Cpnpwo7VhXX9lqPXbtWZAL3hGMs3JxORprTW0Rj00W6GOk5uSYaSuTWP\ndlIOn6uTkN/LPo5ytxanz5/EJcfO4vbnNxCJ5T+ZuWZHN/MmN7LfFGPieChXyVttPSmZpINVGEzn\n8yfvm9fYyslp+08CSjeJak2cWhY7DH7OWbr95vbUmvHvOWgyyzfP4nMnVc+x1iSFvTtchRZ7qemN\npB6k1jp/imU7yZFA4xaGd9NFyfypwayncjBjbB0fOHQaYNRtT6jUDM9c2dIxwIwx9Uxprht6ZeCh\nFUad+qlmM4qu/vL0aRxpQn4vHzhsWtbJy2JjGRvOzOfBnhI/drTReSq96XbQ5+W75xzAhKYSFxzR\nFIQ1n9KrhX1o0iciWur8jGlIXqjOzEiPy7Pr6fMn2RZUuS32dJ7+n1O43nSfLDpwMvMmNfHShvac\ntw/H4vSGY+zpMyIxmkI+nG7lbEW5xpuC8fPzDwWMjNhaJejzlqysgJV1OqEpaBsZg0ViTW3NzOrV\nVC8iQmPQVxZXTPUJe1roUGu9n7GO0mlNacWU3Jhtuj8qZTLqjPmTXFP1Z46rZ/Meo57zBTe9wK+e\nWDf4fn66mAO++x/iCcXYhgAej9jFpcDItn1zexd/evGdlO2syc9Ka0YxEjQEvPSGY0N2KioGlitm\nbEPAPteyxbBD9sQlTfXSGPTREy59glJlKFsepGdxNYX8jDMvllnj6m3/6SeP2ztjW4vZ4xtYvKat\nYiykGy9yL68zY0w9T69t45m1u3jurd2s2dEzqE/bKk0Ayc5Fzr6vA9EEi372NAAfPWKG/UQTjRsi\nF/R5mT6mjo8eMSOncZ84SEPmSmXupCb6o3E2tveNeNs+y2If2xCgPuClvZdB3Sl+r4eA12MXCNNU\nP4awl961WYXCnmqxh/we29I586ApzBhbzyNfPsF1UtLiS6fNoTnk48OH5yZg5WL+1GYGogn+vdJo\nkzdtTKrPPByL87k/vsKnjt+bY/cZn/JZq3lM5kxsZO3OHgCeXbfL/rx7IEaL2YA62TVJeObrp+Q0\ntrevO3MYf1H5OcjsoLRic8eIC3t7X4Sgz5MSnTWUn3zNtaVt0agZWRpDvpSWnKWi+lwxaf7RoM/L\nFHPSzxKoOZOaXP3rFq31Ab5yxryUQkuVyCzTNWI1a0jvbP/0ml089uZOVxeNdbP7x38dl1x/bbJG\njzPVPTZIO7xsiFRn/805ExsJeD28sW3ke1G29xhzHSLJCbSJegJ0VNGgXTG5ke6KCfk9vO/QaWxs\n7+WyE2rrEdaK3tjZbdSMSaRNfrb3ZW+i0Wpu67x53bVkU3Lb3rBtsUZMV8xg8xK1gs/roaXen+Ki\nGin29EXsG6zVsUtHtowumoI+tuwpfWZ29VnssUyLPeDz8LV371eyMLZS0WwLu1EuwfKFW1h9W3td\nLILW+uSxOGxma8bnO7uSJRhi8QQ+T3Va4MPB8HuO/ONxV3+MZrMTUsiMihlX6h5pmrLSEPRqV0wu\nZAh7DVe8syJarKJg6an769oM3/myTR0c9N3/uG4LZPjfwahD89SaNpZuaCcaT1RNs4xi0Bj0lSS2\nuD8at8Mbf/Shg2kK+kZF5JEmSWPQ72p4jTRV54pJL3BVyxXvQn4Pfq/YlrqzXd5LG9r54wvJsMX0\n7DbnHMMnj9ubGxx++PqAl3+u2MbyTUY1yUuOnVWWAlnloiHoLUlscX80btd5WXTgFBYdOGXEv1NT\nWViTp4mEGnTer9hUnZmWbmnVco1qEUlxLzlbbO3Io1b72IYA+09pBuDyE2fTHPKzfFOyfn00nrAr\nSo4GGoP+vNO8n1i9k5VbMnvqutETjvGDB15nT29kyLIWmtqm0cxu7ytxE/Wqu5rThb3WBcnpUnG6\nYv728ua89mNNjB40rSUjrb0/Gh91FntfJD9h/8QfXuLsXz6T07q3P7+Bm595m929kZRQR83oozFo\nXL+lzj6tOlXsCccJeD184DCjpkqtT/g11TmFPTl5+uTq7O0FP7IwMz7fegwM+bwZNXK6B2Kjysfu\n83iImcdyS0c/F92yhM5hlkh2w+ke1Bb76MZqnlLqJKWqu5p7zdKn//ehQ1g7CpI5mh2VCC1XjPOp\n5ZEvn8DHj55pv//dhYfzvx86OGM/lnuvLuDl9a2p1QO7B6KjStiNeQvjWF7/8BoWr2njoZXbirLv\n1zZ3sslRTVNb7KMbyxXTOUQp7GJTdVdzbzhGQ8CHxyOjQoxSfOymGG3rTPrX50xq4pr3HWS/z1bY\nzGs+2fi9HrvI1+UnzAaMcMqGCqt0OZJ4PcLO7jCHfO9hOvuz5wIMh3NueIZbn9tgv6/lOSDN0Myf\n0oIIPP/WrqFXLiJVddbt6glz76tbyj2MktKcNnmaSCg7MugLp87JWD9bKWKPKexxR/ErK71+fVsv\nU4EpOwgAABFHSURBVFpyK/FbC1gGQWd/lBfXG9Uzd3aF2dUT5mO/f4G2QXq4dg9E2eeqh3hghXuP\n3XTqKqyCqKa0TG4JMaY+wPauAZ5cvXNYbSuHQ1UJuzVhONxeoNWIVdTM6lrUH43b2beH7zUmY/1s\nFrs1FaGU4qNHzKC13p8yieqsGV7rODNsreiYvkiMO194h2fX7eaO5zfYy1Zu6Uy5GW5q7yeeUHzj\n3tdy+q7mEjX10FQujUEfT61p45I/vMRPH1lTku8sirCLyCIRWS0i60TkymLs0w2riuORs8aO1FdU\nHJalnUxNj9n1ctwaiWRr5HDt+w/klP0mctheY/jhBw9m2XfOwOdoWl0plS5Lgc/FhfdWWw9/fdko\nuWD1nP3Rv1dz9i+f4aan19vrWaUIunOMctCTp5rGoI9N7YYxuqunuK6/bBQs7CLiBX4FvAeYD5wv\nIvML3a8bVtbpzz66YCR2X5HsMt0CM8YaFnVfOE44nl3Ys9WY33diE7dcckSK0Dhb4I0uV0xmJNWj\nb+xk8x7j4vv1k2+xdEO73VLwLbM6JiTr9uTKcPvWamqTUtUKKobFfiSwzmxqHQH+DJxbhP1mYEWD\n1FpNmME4ad5EINmv02mxu/VCzadB9/H7JuupWxUyRwPOJ5VsfOi3z9vHcrsjGWxrR/J1ekcqp8tm\nzsRGLj1+b46fk1nOQTO6cDZ/H1NfGu0qhrBPAzY53m82l6UgIpeJyFIRWdrWlj0GezCsCnmjKYTs\nrIOn8OYPFnGwOdHZF0n62N3KKbhZ8dlocZxkraOoe0+uyVhWC72n1yYjGrY65nciabV7+h0TY3uN\nq+ebZ813dftoRhfOUgKxEvWdLNlZp5S6USm1UCm1cMKE4XXeMUIdvSWtuVAJhPxeu5hUbzhmu6Tc\nRHy4CVtWFcLRgCfHY5ReIhpgW2e/4/M0YY8k19cuGI2Fc7I+EitNv91iCPsWwJnqON1cVnQagj72\nmZi9M1ItY8WZ90Xi9snhrGx5xSn7MruAjkDO0gW1Tn+OIWfpwg2prpj0pi9OYf/GmfsPc3SaWsPp\nivnXym12Y5uRpBjC/hIwR0T2FpEA8FHgH0XYbwZfOX1uSkeg0YQVxvi5O19JWuzepCvmq2fM4/H/\nPmnY+x9N0RvpscT7TW5yXS/scgNwWuzp+7FuGL/+2GFMcmlOrhmdeB1PiGt29PDvVdtH/DsLFnal\nVAz4L+A/wBvA3UqpVYXuV5OKsxOSJSjFqEX//XMP4Nh9xhW8n2rCaVlDMpLovYdMtZd5PeJqse9x\n1JTJcMVER98ckGZo0ud03lOC8s1F8bErpR5SSs1VSu2jlLq2GPvUpOJMPOoaiBLwevKaKM3GRcfM\n4k+XHl3wfqoJp6U9d1KjHRH0iXfNspcnlBoySzD9c6tiZKX30tWUlvSm6d4SzBHqGZ4qwVlzpLMv\nSku9v+YrW44UlmX9kw8fwnsXTKU3HOOIWWNZMCPZQlAp6HIkIc0e38B6s6l4Q8BLbyROOJYgFk/Q\n3hdhYlPIFnptsWucXHXm/hy7z3g+88eXS/adOharSnCKeFt3eFTF8hebDx42HYCj9xmH3+uhtT7A\nxcfOQkRw3ivbe5NZgv+zaD/7tRUaGo7F+cEDr3PktY/RPRDl0tuNC1db7BonIb+XRQdOLul3amGv\nQrZ3DdCqhX3YnLzfRDb88CzX+jjPX3kqnzpub/v9fLPz1OF7jeH8I43yyNZNNRxN2PWL7nzxHTtB\nKVTD7Ro1w+eiY/bi6w4DYSTRwl5FXPO+AwHY0RWmtUQZbKONyS0hDnG4ZM4+ZAobfngWE5qC9pyG\n5TNdv6vXduts3pOswT62cfQke2ly5/vnHshnT9qnJN+lhb2KsEISd/WEU8r5aoqL00fe5Eg0shJN\n9h7fwISmIKu3d9m17S23zZKrTtXJSZqyo4W9inBOoFoFqzTFx1lvx1lUTRxdqOr8XqJxZS+zEpdC\n2r+uqQC0sFcRzuzQjr7SlP8cjTiTtZzWt5UwGPR5CPg8KenhVnMOHRGjqQS0sFcRR81O1qE/86CR\nT3IYrTjFebKj6mXCrObo93rwez1E4gmsAo9W85fR0K5RU/nos7CKcFZzvOKUzLZ4muKQcJTjnTGm\n3n4dSxgWuscjBLzumakaTSWgZ3mqlFJkr41W5k5qojnkY+8JjSnRR5YrxitCwOdhT692h2kqEy3s\nVcZe4+rZuLtv6BU1wybg87Di6ndnLI+bFrvPI/i9Ht42M1E1mkpDC3uV8fCXT0CVpla/Jg2rSYLH\nFPb0/pW3ffLIcgxLo8lAC3uV4dY1SVMarMxSn0dc2xI2hfTlpKkM9OSpRpMjJ5v9Z+dPbSZgRr84\na7nrxCRNpaDPRI0mR9536DROmz+JxqAPv1lj+8S5E3hzezeQmsyk0ZQTbbFrNHlgWeVW31Snld4Y\n0MKuqQy0sGs0w8CKdXdmqVp9aTWacqOFXaMZBlZ9/FDAyyn7Gb53n8461VQIBT07isjVwKVAm7no\nKqXUQ4UOSqOpdKwEsaDXw28+fhjdjm5LGk25KYZT8KdKqf8rwn40mqrB6jyfUIqgz0uwUbthNJWD\nfnbUaIaB14yKsZKWNJpKohjCfoWIrBCRW0RkTLaVROQyEVkqIkvb2tqyrabRVAVW0424FnZNBTKk\nsIvIoyKy0uXfucBvgNnAAmAb8JNs+1FK3aiUWqiUWjhhwoSi/QEaTTkY22C0v9ONqzWVyJA+dqXU\nabnsSERuAh4oeEQaTRXw2ZP2oTnk54OHTS/3UDSaDApyxYiIs9vD+4GVhQ1Ho6kOgj4vnzxub10+\nWVORFBoV8yMRWQAoYANwecEj0mg0Gk1BFCTsSqkLizUQjUaj0RQHHe6o0Wg0NYYWdo1Go6kxtLBr\nNBpNjaGFXaPRaGoMLewajUZTY2hh12g0mhpDVBla3otIG7BxmJuPB3YVcTi1jj5e+aOPWX7o45Uf\nhRyvvZRSQ9ZkKYuwF4KILFVKLSz3OKoFfbzyRx+z/NDHKz9Kcby0K0aj0WhqDC3sGo1GU2NUo7Df\nWO4BVBn6eOWPPmb5oY9Xfoz48ao6H7tGo9FoBqcaLXaNRqPRDIIWdo1Go6kxtLBrNJqiISJaUyoA\n/SPUOCKiW/wUgIjopqY5YJ1nSqmEiATLPZ5KZ6SvSy3sNY4yZ8dF5EQROV1EJpjv9W+fA0qpOICI\nTBeRBvO1vlmaOATdOs+OBx4UkVllHFbFkn68Rux7qjUqRkTOAI4DnlNK/bvc46lUTAH/FnAK8Dhw\nEPAlpdQWEZGRPsGqHbOv723ANqBPKfXZMg+pIjGt9A8CnwWuVEo9W+YhVRTp15qILALmAUuVUs8W\n+1qsSqvNFPWvAo8CV4rI2fqROdOSFJEPKKUSwD7AJ5VS3wdeAv4bRt5qqDayPMWcCNyolLoYOFNE\nPlfiYVU8InIacCtwN9APhM3lVakvI0GaqH8I+AqwEvidiBxa7Guxag68iHhEpMl8ux9wPdAEjAM6\nrUfm0YzjcXiyaUG9S0ROAJYBx5qrPQDsKNMQKxrzJoiIfEpEjhWREDAF+JyI3AP8Cvh9OcdYTizj\nyTIgROTDAEqpR4EQcBRG8s2l5vJEeUZaWTiO22fMRfsB12L0nPYBdcX+zqoQdhE5C8PS/KGInIpx\np7sfOBA4DAiIyKFlHGJZMG92c9KWfQ74D3AmsAboAF4HThKRy4GfY1hVox4xcbwfIyI3AUdjXHy3\nA38CZgO/MF/fJiLnlWO85UJEjobkfIO5zAucJSKXmot+Afy3UupvwD7mNTsqEZEPisi5zkXm/6eZ\ncxDrgAcx3KIHAX4RmVvMMfiKubNiIyKNwHsxHlveD7QCPwPeDdwH7MawoFqAK8s0zHLSCJwoIicB\nEzH8wH8BjgBOB/YFdiul/iYie4APAb9VSt1TpvFWFI4nnGkY59QjwADwbYzzqUEptUNEvgFYczo/\nUko9WKYhlxQR8WMIdj3wgogcBlwNvAIsBn4EfFNEbldKPSEi3xaRC4H/AmJlGnbZEJEA8FPAD3zV\n1K9zgVkYFvo/MI7lX4FPkdSveuAbRR1LJbpZRWQ8xglUDzyP4U8/QSm1U0S+D8SVUt8TkSOBaUqp\n+8o32vJhWps/BD4K3IHxONwLPIHh57wG4zHvTKVUR7nGWWmIiMfhdvkocAKwGvgDxoV2MPAljDmc\nQ4GlQEApFS7PiMuHiFyJcS5tAz4M3Al0YpxztwPHYBgQWzA8AIuVUo+VZ7TlR0SuAuJAAIhiHKPb\nge9jPEVvVEr9RkSmYngcms2nnKJSqa6YHwLbgd9hHKAdmH474CfA8SIyVSm1ZLSKOtgW510YJ84S\nDKvgCPP/nRg3x7uB6GgP0ROReSLyO7BjrWeaH03CmKu5A+Om+CDGsfQC/wJOA3yjUdRNfBjWpOUC\nXWIK9zMYN8CfAW1Aj1Lqu6NZ1E0E+DLG010QYw7wCxjuvHkYE/B1SqmtSqmHR0LUoXJdMRuBp5VS\nL4pIBMPNcJyILFJK/VtE3quU6ivzGCsCpdQyEVHAJRiuhP8FrgAuUkp9F3i6jMMrO+YE6L5KqZUi\nMldELgEWAQ0ishK4CrgZmKeUel5E7gDeAd4FXKWUeqlcY68Q/o5hgc7EsNqPwXAlzAZWKqUiIvId\nHbxg8w9AAQ3AUxhPNt9XSr0uIsdi3ARH/FhVqivm8yQfY96NMcHwGNCulFpdzrFVIqZ4fQz4BMbE\nzFVKqa3lHVVlICLNwAUYT4DnYky2X6mU+peIPAl8E8Pldw5wjVJqZ7nGWqmISAvwf8AmoAc4C+Pp\n5utKqTfKObZKxDznfgk8jGGUDpjuF59SqiRzD5XqivkLxh3vr8AXgVVKqee1qLujlBpQSt0M/Bi4\nXIt6Ct0ko1peB7Zi+M3BmIO4Win1iPl+XOmHV/kopToxIq0OUkpdD3xHKfVeLeruKKW6MMKKPwK8\nCLxsflSyp5qKtNgtROQ4DJ9epNxj0VQvInIIcB5GJMerwD3AOUqpDhH5O0YI6GLtTsiOiNQDZyul\n7i73WKoBs/zE6cA/yhHPX9HCrtEUC1PcL8EInf0FEFJKXSoiwVE8MaqpUSrVFaPRFJvVwCqMCeYJ\nGCGhAPppUFNzaItdM6oQkfcDD2r3nqaW0cKu0Wg0NYZ2xWg0Gk2NoYVdo9Foagwt7BqNRlNjaGHX\naDSaGkMLu0aj0dQYWtg1NY2IfFNEVonIChFZJiJHiciXzExKjaYm0eGOmppFRI7BaKF4klIqbNb5\nDwDPAQuVUrvKOkCNZoTQFrumlpkC7LJKBphC/iFgKvCEiDwBICK/EZGlpmX/PWtjETlTRN4UkZdF\n5Bci8oC5vEFEbhGRJSLyalobNI2m7GiLXVOzmK3JnsEoy/so8Bel1FMisgGHxS4iY5VS7WYfz8cw\nGiOsAdZidO56W0TuApqUUmeLyP8DXldK/VFEWjEac/z/9u7YlcIoDuP49zGL0SaUhcVN/gCLUjZF\nJpM7KJvB7g8wyGCzyX/AdhcrIkWKzSohi/oZzlFvcl2D7n07PZ/tPe/p7Zzl169z6n0aEfHW9U2a\n/cAduxUrIl6BaaBJCjg4ykEb3y1JOiP9+XESmCCFWd9HxEOec1iZPwdsSboAWqRIwmHMaqKuCUpm\n/yL/ircFtCRdAavV95JGgU1gJiKeJB2QCvVvBCw6H8Dqyh27FSvnnI5XhqZIsYsvpJxTgAFSGtCz\npCFgPo/fAmOSRvLzcuU7J8DGV46spAZmNeKO3UrWD+zmc/APUmxgE1gBjiU9RsSspHPghhT9dgoQ\nEe+S1vO8N6CafbpNCnG+lNQHPAAL3dqUWSe+PDVrQ1J/RLzmznwPuIuInV6vy6wTH8WYtbeWL0iv\ngUFgv8frMfsTd+xmZoVxx25mVhgXdjOzwriwm5kVxoXdzKwwLuxmZoX5BDRcTKu97rSeAAAAAElF\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1915961dd68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "ax.plot(np.random.randn(1000).cumsum())\n",
    "ticks = ax.set_xticks([0, 250, 500, 750, 1000]) # 设置X轴刻度\n",
    "labels = ax.set_xticklabels(['one', 'two', 'three', 'four', 'five'],\n",
    "                            rotation=30,\n",
    "                            fontsize='small') # X轴标签，数组与刻度数组大小对应\n",
    "ax.set_title('My first matplotlib plot')\n",
    "ax.set_xlabel('Stage') # X轴命名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 添加图例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1915aec6fd0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAD8CAYAAAB0IB+mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nGo1G00DQBl+j0WgaCP8PtYfxgDk/OPgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1915ae5c4e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "ax.plot(np.random.randn(1000).cumsum(), label='one')\n",
    "ax.plot(np.random.randn(1000).cumsum(), 'k--', label='two')\n",
    "ax.plot(np.random.randn(1000).cumsum(), 'k--', color='r', label='_nolegend') # _nolegend不显示图例\n",
    "ax.legend(loc='best') # loc控制图例显示位置"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 注解以及在Subplot上绘图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1915aef85f8>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAD8CAYAAAB0IB+mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1915ad4c470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "ax.text(0.75, 0.6, # 相对坐标轴的比例\n",
    "        'Hello world!',\n",
    "        family='monospace',\n",
    "        fontsize=10) # 放置标注文本"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbIAAAEACAYAAADWcfNiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1915ae7c860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "data = pd.read_csv('../data/spx.csv', index_col=0, parse_dates=True)\n",
    "spx = data['SPX']\n",
    "spx.plot(ax=ax, style='k-') # 直接调用pandas的绘图功能\n",
    "crisis_data = [(datetime(2007, 10, 11), 'Peak of bull market'),\n",
    "               (datetime(2008, 3, 12), 'Bear Stearns Fails'),\n",
    "               (datetime(2008, 9, 15), 'Lehman Bankruptcy')] # 几次大危机\n",
    "for date, label in crisis_data:\n",
    "    ax.annotate(label, # 文本\n",
    "                xy=(date, spx.asof(date) + 50), # 要标注的点，这里asof和直接下标访问没区别。\n",
    "                xytext=(date, spx.asof(date) + 200), # 标志文本坐标\n",
    "                arrowprops=dict(facecolor='black'),\n",
    "                horizontalalignment='left', # 放在左上角\n",
    "                verticalalignment='top')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.patches.Polygon at 0x1915b0b14a8>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAD8CAYAAAB0IB+mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAH7VJREFUeJzt3XtwXOV5x/Hvs6uLJUuWjC3f5JsAGzAYp8bYQLiGhACZ\nlKnJtIEUJgzUYQKEP9o0DJlQakpamqaToSEhlDCZTNswmeBgmnFKmFwwJhBsE8AGQ5Al62ZZK1v3\ni3Xbt3+8EhLGttbS7p7dPb/PzI61u0fax6/l3559z3ueY845REQk90WCLkBERNJDgS8iEhIKfBGR\nkFDgi4iEhAJfRCQkFPgiIiExaeCb2VNmFjOzvSd43szsUTOrNrO3zGxt8ssUEZHpSmQP/0fAtSd5\n/jpgxehtE/D96ZclIiLJNmngO+e2A20n2eQG4MfOexUoN7OFySpQRESSIy8JP6MSaJhwv3H0seZj\nNzSzTfhPAcycOfOCs88+OwkvLyISHrt37z7snKuYyvcmI/AT5px7AngCYN26dW7Xrl3pfHkRkaxn\nZnVT/d5krNJpApZMuL949DEREckgyQj854BbR1frXAR0Ouc+Mp0jIiLBmnRKx8x+AlwJzDWzRuAf\ngHwA59zjwDbgeqAa6ANuS1WxIiIydZMGvnPupkmed8BdSatIRERSQmfaioiEhAJfRCQkFPgiIiGh\nwBcRCQkFvohISCjwRURCQoEvIhISCnwRkZBQ4IuIhIQCX0QkJBT4IiIhocAXEQkJBb6ISEgo8EVE\nQkKBLyISEgp8EZGQSOtFzOX4tmzZQktLS9BlSIaZP38+GzduDLoMySEK/AzQ0tLC4sWLgy5DMkxj\nY2PQJUiO0ZSOiEhIKPBFREJCgS8iEhIKfBGRkFDgi4iEhAJfRCQkFPgiIiGhwBcRCQkFvohISCjw\nRURCQoEvIhISCnwRkZBQ4IuIhIQCX0QkJBT4IiIhocAXEQkJBb6ISEgkFPhmdq2ZvWdm1WZ233Ge\nLzOz/zWzN83sbTO7LfmliojIdEwa+GYWBR4DrgNWATeZ2apjNrsLeMc5twa4Evi2mRUkuVYREZmG\nRPbw1wPVzrka59wg8DRwwzHbOKDUzAwoAdqA4aRWKiIi05JI4FcCDRPuN44+NtF3gXOAg8Ae4F7n\nXPzYH2Rmm8xsl5ntam1tnWLJIiIyFck6aPtp4A1gEfAx4LtmNuvYjZxzTzjn1jnn1lVUVCTppUVE\nJBGJBH4TsGTC/cWjj010G7DFedVALXB2ckoUEZFkSCTwdwIrzKxq9EDs54HnjtmmHrgawMzmA2cB\nNcksVEREpidvsg2cc8NmdjfwPBAFnnLOvW1md44+/zjwEPAjM9sDGPA159zhFNYtIiKnaNLAB3DO\nbQO2HfPY4xO+Pghck9zSREQkmXSmrYhISCjwRURCQoEvIhISCnwRkZBQ4IuIhERCq3QktebPn09j\nY2PQZUiGmT9/ftAlSI5R4GeAjRs3Bl2CiISApnREREJCgS8iEhIKfBGRkFDgi4iEhAJfRCQkFPgi\nIiGhwBcRCQkFvohISCjwRURCQoEvIhISCnwRkZBQ4IuIhIQCX0QkJBT4IiIhocAXEQkJBb6ISEgo\n8EVEQkKBLyISEgp8EZGQUOCLiISEAl9EJCQU+CIiIaHAFxEJCQW+iEhIKPBFREJCgS8iEhIKfBGR\nkEgo8M3sWjN7z8yqzey+E2xzpZm9YWZvm9mLyS1TRESmK2+yDcwsCjwGfApoBHaa2XPOuXcmbFMO\nfA+41jlXb2bzUlWwiIhMTSJ7+OuBaudcjXNuEHgauOGYbW4Gtjjn6gGcc7HklpnbnHNBlyAiIZBI\n4FcCDRPuN44+NtFKYLaZ/c7MdpvZrcf7QWa2ycx2mdmu1tbWqVWcY/a17uP+X99PU1dT0KWISI5L\n1kHbPOAC4DPAp4FvmNnKYzdyzj3hnFvnnFtXUVGRpJfObjXtNbx35D02v7iZdw+/G3Q5IpLDEgn8\nJmDJhPuLRx+bqBF43jnX65w7DGwH1iSnxNy2v30/laWVlBSU8C87/oWX618OuiQRyVGJBP5OYIWZ\nVZlZAfB54LljttkKXGpmeWZWDGwA9iW31NxU11HHzIKZlBaWsqBkAT/Y/QO2vruVuIsHXZqI5JhJ\nA985NwzcDTyPD/GfOufeNrM7zezO0W32Af8HvAW8BjzpnNuburJzQ/9QP239bRRGCwGYkTeDpWVL\n+dk7P+OpPz7F4MhgwBWKSC6ZdFkmgHNuG7DtmMceP+b+t4BvJa+03Nfa10rEIpjZB4/lRfKoml3F\njvodHOk7wl3r76KkoCTAKkUkV+hM2wDFemPHnbqJWIRlZct4v+19Ht7+MLFerXIVkelT4AeoobOB\niB3/n8DMWDxrMR1HO9j84mZq2mvSXJ2I5BoFfoD2t+9nZsHMk24zv2Q+eZE8Ht7+MK83v56mykQk\nFynwA+Kc8yt08k8e+ADlM8qZUzyH77z6HX61/1c6M1dEpkSBH5DeoV56BnsoiBYktH1xfjGLZy3m\nv976L/5n7/8wHB9OcYUikmsU+AFp7f3oCp3JFEQLWFa2jOern+ex1x6jf6g/hRWKSK5R4Ack1hsj\nzqmfXBWNRKkqr+LNljd55OVHaO9vT0F1IpKLFPgBqeusI88SOg3iI8yMpWVLae5u5qHtD9HY1Zjk\n6kQkFynwA1LTXjPpCp3JLCxdyNDIEJtf3Mw7re9M/g0iEmoK/AA456jrTGyFzmTmFM+htKCUf335\nX9lRv0MreETkhBT4Aega6OLo8FHyo/lJ+XkfNF7b9QN+/u7P1XhNRI5LgR+AWG8MI/HVOYmYkTeD\nZeXLePbdZ/nh6z9U4zUR+QgFfgBivbGUTL3kRfJYXr6clxte5t9f+Xe6B7qT/hoikr0U+AGo7ahN\n+ISrUzXWeG1/237+6aV/oqWnJSWvIyLZR4EfgNr22mmv0DkZM6NyViXdR7vZvH0z+9v2p+y1RCR7\nKPDTLO7iNHQ1UJxfnPLXmlcyj/xIPt986ZvsOrgr5a8nIplNgZ9mHUc7GI4PkxeZ2klXp2qs8dqj\nf3iU56uf17JNkRBT4KdZKlboTGZi47X/fuu/1XhNJKQU+GnW0tMSyDr5gmgBy8uX80LNC3z3te/S\nN9SX9hpEJFgK/DSraa9hRt6MQF47GomyvHw5b7W8xSM7HqGtvy2QOkQkGAr8NKvtqE3LAdsTGWu8\ndqjnEJtf3ExDZ0NgtYhIeinw02gkPkJTV1OggT9mYelCRuIjPLT9Ifa27A26HBFJAwV+Gh3pP4LD\nEY1Egy4FGG+89q1XvsWLdS9qBY9IjlPgp1GsNxZ0CR9RWljKopJFPLn7Sbbs26LGayI5TIGfRs3d\nzRm5F12YV8iy8mVsfW8r/7n7PxkYHgi6JBFJAQV+GtV21FKUXxR0Gcc11njtlcZX+PYr36ZroCvo\nkkQkyRT4aVTbUZuUi56kyljjtdr2Wh7e/jCHeg4FXZKIJJECP02GRoZo6WnJ2D38MR80XhvsZvOL\nm6luqw66JBFJEgV+mhzuO4xhRCw7hnzezHkURgv55kvfZGfTzqDLEZEkyI70yQGx3hiOzDtgezJl\nM8qYWzyXR197lG3vb8vIA84ikjgFfpoc7D6YlYFZnF/M0llL+cmen/Djt36sxmsiWUyBnyb72/en\n9KInqZQfzadqdhW/qfkN//GH/1DjNZEspcBPkwMdBzJ6hc5kIhZhefly9sb28s87/pkjfUeCLklE\nTpECPw0Ghgc40ncksC6ZyWJmLClbQmtvKw9tf4j6zvqgSxKRU6DAT4NYb4yIRTBL74VPUmVByQLi\nLs5DLz7EnpY9QZcjIglKKPDN7Foze8/Mqs3svpNsd6GZDZvZ55JXYvZr7WvNuhU6kzmt6DTKZpTx\nb7//N3534HdZeUBaJGwmDXwziwKPAdcBq4CbzGzVCbZ7BPhVsovMdk1dTWm/rGE6lBSUsKh0ET98\n/Yc8s+8ZRuIjQZckIieRyB7+eqDaOVfjnBsEngZuOM529wDPAJnXEjJg1W3VWbtCZzJjjde27NvC\nM/ueCbocETmJRAK/Eph4WaTG0cc+YGaVwF8A3z/ZDzKzTWa2y8x2tba2nmqtWauusy6rV+hMpuNo\nBzPzZ3LO3HOCLkVETiJZB22/A3zNuZM3U3fOPeGcW+ecW1dRUZGkl85sfUN9dB7tpCBaEHQpSeec\no7GrkaK8Ih688kFWz18ddEkichJ5CWzTBCyZcH/x6GMTrQOeHl2FMhe43syGnXPPJqXKLBbrjWFm\nObNCZ8xIfIT6znpWz1/Nly74EqWFpUGXJCKTSCTwdwIrzKwKH/SfB26euIFzrmrsazP7EfALhb0X\n643l3AqW/qF+mrub+czKz3DjqhvJiyTyayQiQZv0f6pzbtjM7gaeB6LAU865t83sztHnH09xjVmt\nvqM+Y65hmwzt/e10D3Zz54V3cvHii3Puk4tILkto18w5tw3Ydsxjxw1659wXp19W7qjpqMmJA7bO\nOZp7minKL+Ibl3+DqtlVk3+TiGQUfRZPIeccdZ11lBWWBV3KtMRdnPqOes6ccyZ3XXgXs4tmB12S\niEyBAj+FegZ76B/qp6I4e1ckDQwP0NjVyNVVV3Pz+Tfn5GojkbBQ4KdQrDeW1WfYdg100dbfxm0f\nu42rqq7SfL1IllPgp1CsN0b85KcmZKyWnhYwuO/S+zh77tlBlyMiSaDAT6EDHQfIj+YHXcYpcc7R\n0NVAZWkl92y4h3kz5wVdkqTAyAj09UFvr/+zuxva2mBoCJyD4WG/TTwOkQhEo/4WiUB+PpSV+dvM\nmVBcDEVF/nHJbAr8FKppz64VOkMjQ9R31XPJ4kv44se+SFF+UdAlyTQNDMDhw9DZCe3tPtTb233I\nm/lwBx/mBQU+0CMR/9zEGTznxm/xOFRX+zeEsW2cgxkzoLwcTjsNZs/2X8+d698MJDMo8FPEOUd9\nV33WHLDtHeylpbeFvzr3r7h+xfVETJdKyEYjIz7UDx2C/fuhpcWHcSTiA72gAEpKfCAn29AQ9PdD\nTY1/oxl7g6iogDPOgIUL/RtAnlInMBr6FOk42sHgyGBWnIXa2tvKUHyIv734b1mzYE3Q5cgpcA66\nuiAW80FbX+9DPxLxwb5w4Yf31FMpP9/fSko+XF9fH+zcOT49tHgxVFXB/Pn+U0BE+xZpk/lplKWy\nYYXOWPOzucVzufeie1lUuijokiRBQ0NQWwuvvw4dHf6x4mK/Nx3NoBO7zfw8/8zRmc2xTyD19f7N\noLQU/uzP/CeAGdl9BdCsoMBPkZaelozuoTMcH6ahs4E1C9aw6YJNlBSUTP5NErjubvjTn+CNN2Bw\n0E/NVFZO/n2ZIhodP+ALfgpo+3Z4+WU47zxYtcrv9UtqKPBTpLajlsK8wqDLOK7+oX4Odh/ks2d9\nlo3nbMyKaacwc85P2ezd68M+GvVz4bmwKqaoyE/xDA/D22/Dm2/CsmWwZo2fjtJ0T3Lpf3qKHOg4\nkJErdMaan921/i42VG7QyVQZzDk4cAB27/aBX1QEixblZgjm5cGCBf7vfPgwbN3q9/TXrfPTPZk0\nTZXNFPgpEHdxGroaWFiyMOhSPuCco7m7meKCYh644gGWly8PuiQ5ibY22LEDGhr8tM2SJZN/Ty4w\n83/f2bP9wd4XXvB7/Zdf7g/yyvQo8FOgrb+NuItnTFvkuItT31nPyjkr+fKFX6Z8hiZJM9XgoA+4\nXbv8Hv3SpUFXFJziYv/37+yEZ56B1av9Hr/W9U+dAj8FMmmFzljzs0+e8UluOu8mNT/LYM3N8Otf\nQ0+Pn7/WNIZXVuZX87z7rj/h66qrYPnyoKvKTgr8FDjUcwhH8Ct0xpqf3b72dq5YdoXm6zNUPO5X\n3bz6qp+3zqZVN+kSifg5/r4++MUv4GMfg4su0klcp0rDlQI1bTUURoNdoXOo+xDRSJT7L7uflXNW\nBlqLnNjRo35Z4vvv+wOyCrCTKy72xzP27IEjR+CTnxxf4y+Ty8Hj/cGr7ahlZkEwv4VxF6euo455\nJfN48MoHFfYZrLMTtmyBujofYgr7xIydrXvkCPz0p9DaGnRF2UOBn2TD8WEO9RyiOL847a89NDJE\nbXst6yvXc/9l91MxMzv6+IRRezv8/Od+/fmCBelrf5BLKiqgsNCP46FDQVeTHRT4SXa47zBA2puP\n9Qz20NDVwE2rb+JL677EjDydp56p2tp8SEWjqWliFialpf62das/6C0np8BPslhvLO2v2drbStdA\nF3938d+p02WG6+yEZ5/1XSvVQiA5Skr8WG7d6k9QkxNTMiRZOlfojDU/Kyks4cErH+T8Been5XVl\nagYG4Je/HO8nI8lTXAyzZsG2bX5ZqxyfAj/J9rftpygv9WeGDMeHqe2o5dyKc3ng8gfU6TLDxePw\n29/6VsannRZ0NbmptNSP869+5buJykcp8JPsQMeBlK/Q6R/qp66jjhvOuoGvbPhKYCuCJHF79/oL\nkixYEHQlua2iwk/rvPZa0JVkJgV+Eg2ODBLri6V0D7+tv43DfYe5Z8M93Ljqxoxp3yAn1tkJr7yS\n3ouRhNmCBb49RUtL0JVkHgV+ErX2thIhkpIzWp1zNHU1EY1EeeCKB1hfuT7pryHJ5xy89NL41aAk\n9caOkfz2t37Zq4xT4CdRrDeWkgO2I/ERDnQc4PTZp/PgFQ+yrHxZ0l9DUqOhwZ9YVaFTItJq1iy/\n/PX994OuJLPo3L4kaupuSvrPHGt+9qkzPsVN591EflS7idnCOX8tVy2/DMbcuX4uf+VKNaIboz38\nJNrftj+pFz3pPNpJc08zd1xwB7ecf4vCPsu0tPjbrFlBVxJORUXQ2+svIiOeAj+J6jrrkrZi5lDP\nIYbiQ3z9sq+r02WW2rvXrw+X4MyeDX/8Y9BVZA4FfpL0D/XT3t8+7S6ZY83PFpQs4MErH2TFnBVJ\nqlDSaWgIamo0nRO0khLfXE0nY3maw0+S1r5WIja9FTqDI4M0dDVw2dLLuHXNreqHk8ViMRgZ0dxx\npmhuhhXad1LgJ0usN4ZzU1+h0zPYQ6w3xhdWf4FrzrhG/XCyXEOD75cjwSsp8Se9KfAV+EnT0NlA\nJDK1kG7tbWU4PsxXL/kqq+evTnJlEoRYTPP3maK4WD3zxySUUGZ2rZm9Z2bVZnbfcZ7/gpm9ZWZ7\nzOz3ZrYm+aVmtv3tp75CxzlHQ2cDswpn8Y9X/aPCPoccPgwzNCOXEQoK/God9ddJYA/fzKLAY8Cn\ngEZgp5k955x7Z8JmtcAVzrl2M7sOeALYkIqCM5FzjrqOOkoLSxP+nuH4MPUd9Vyw6ALuWHuH+uHk\nkIEBGBzUFawyiZkP/bAfRE/kV3I9UO2cqwEws6eBG4APAt859/sJ278KLE5mkZmud6iXnsEeTitK\nrA1i31AfzT3NbDxnI39+1p+rH06O0en8mcc5/btAYoFfCTRMuN/Iyffebwd+ebwnzGwTsAlg6dKl\nCZaY+WK9McwsoRU6R/qO0D/cz1fWf4ULKy9MQ3WSbtM4di8pYqZ/F0jyQVszuwof+Jce73nn3BP4\n6R7WrVuXM8OfSA8d5xwHuw9SWljKVz/+VZaW5c4bnnzYFI/dS4rp3yWxwG8Clky4v3j0sQ8xs/OB\nJ4HrnHNHklNedqjrrCPPTjyUI/ER6jvrWVWxijvX3UnZDF3uKJeNLcd0Tu2QM4Vz/oLnYZdI4O8E\nVphZFT7oPw/cPHEDM1sKbAFucc79KelVZriatpoTHnQ9OnyUpq4mrj3zWv7y3L9UP5wQyMvzV18a\nHFTIZIJ43O/da5lsAoHvnBs2s7uB54Eo8JRz7m0zu3P0+ceBB4A5wPdG57GHnXPrUld25nDOUd9V\nz2kzPnrAtvNoJx1HO/ibC/6Gy5Zepn44ITJ3rl/7rcAP3tGjfnWOpnQSnMN3zm0Dth3z2OMTvr4D\nuCO5pWWHroEuBoYHPrLn3tzdTH40n69f/nXOPO3MgKqToFRW+i6Nulh58Hp74ayzgq4iM2il8DTF\nemMY43vucRenvrOeqvIq7l5/N3OK5wRYnQRl0SI/lSDBGxiA5cuDriIzKPCnKdYbI+78/+zBkUEa\nOxu5fNnl3LLmFgrz9Hk+rGbPhpkzfdhoWic4Yw3s5s0LupLMoFmtaartqKUgWkD3QDdNXU389Zq/\n5va1tyvsQ84Mzj0XjoRqvVrmaWuDM8/U9YTHKPCnqaa9hr6hPnqHevn7j/8915xxjQ7OCuDnjeNx\nv5cp6eecP2B7/vlBV5I5NKUzDXEX52D3QRaXLebeDfeyoGRB0CVJBikpgdWr4d13Yf78oKsJn44O\nWLbMr5gST4E/TXesvYNVFasoztciX/mo1athzx7fx0XN1NInHofubrjmmqArySya0pmGiEVYt2id\nwl5OqKwMNmyAQ4eCriRcYjE47zxYoA/dH6LAF0mx88/3J/50dQVdSTj09/tPUxtC06A9cQp8kRTL\ny4Orr4bOTt9uQVJnZARaWuCqq3QBmuNR4Iukwbx5PoSam3VCVqo4B01NcPHFOtHqRBT4Imlyzjmw\ndq0PJfVmT75Dh/yFyteuDbqSzKXAF0mjDRv8iUAK/eQ6dMh/irriCjVJOxkNjUgaRaPwiU/4PVGF\nfnI0N/uwv+46tbGYjFYGi6RZXp6fzzfzJ2VVVvo3Ajk18TgcPAhLlvj19mMXnpETU+CLBCAa9aFf\nWgqvvebPxNWqksQNDfk9+3PPhY9/XL1yEqXAFwlIJALr10NFBbzwgg/82bODrirz9fRAe7t/wzzn\nHF1G8lRoDl8kYFVV8LnP+fnnxkY1WzuRsSmcoSG48UZYtUphf6q0hy+SAU47DTZuhDfegJ07/fVX\n5+jaOR/o6vInrq1e7T8V6eDs1CjwRTJEfj5ceCGcfjrs2AH19X71SZjn9gcH/Zmzc+b4N0T1xpke\nBb5IhpkzBz77Wdi/3wf/4cP+E0BxiHr0DQz4i8dEInD55X6uXiuZpk+BL5KBIhG/Vn/ZMqithd27\noaHB99gvL8/dueuxqZuZM+GSS/xJakVFQVeVOxT4IhmsoMBfOWvFCr8M8c034cAB//icObnRY39k\nxF+K8OhRWLgQLr0UFi/WHn0q5MCvi0jui0T8CVqVlX5J4r59sHevD8vycr9HnE17/c75Nsbt7f7+\n2Wf7NfUVFcHWlesU+CJZZvZsP92xdi3U1MB77/nlis75A79lZZl5oHdgwE/ZDA76WufOhYsu8p9e\nZs4MurpwUOCLZKkZM/xa9FWrfJgePuzX8VdX+6/Bz3/PmhXMmagjIz7ge3v9p4/iYli5EpYu9Xvy\nmptPPwW+SA4oLByf8tmwwV/PtbUV6ur8Qd/BQR+6zvk/CwvHb9N5Mxga8m82Y7d43E8/Oefn4Jct\n8yeWzZvn33iyadopFynwRXJQaam/nX66bxnc3w99ff7W0+MPkra3+1t//4ffDE7WwfPY7QoK/BTT\nwoV+6eisWX5PfuymVsWZRYEvkuMiET9HfqJ58uHh8TeDeHz85tz4HrvZ+J/RqJ+OKS5W07Jso8AX\nCbm8PL9nPmtW0JVIqukDl4hISCjwRURCQoEvIhISCnwRkZBQ4IuIhIQCX0QkJBIKfDO71szeM7Nq\nM7vvOM+bmT06+vxbZrY2+aWKiMh0TBr4ZhYFHgOuA1YBN5nZqmM2uw5YMXrbBHw/yXWKiMg0JbKH\nvx6ods7VOOcGgaeBG47Z5gbgx857FSg3s4VJrlVERKYhkTNtK4GGCfcbgQ0JbFMJNE/cyMw24T8B\nAAyY2d5TqjZ3zQUOB11EhtBYjNNYjNNYjDtrqt+Y1tYKzrkngCcAzGyXc25dOl8/U2ksxmksxmks\nxmksxpnZrql+byJTOk3Akgn3F48+dqrbiIhIgBIJ/J3ACjOrMrMC4PPAc8ds8xxw6+hqnYuATudc\n87E/SEREgjPplI5zbtjM7gaeB6LAU865t83sztHnHwe2AdcD1UAfcFsCr/3ElKvOPRqLcRqLcRqL\ncRqLcVMeC3Mnu9qBiIjkDJ1pKyISEgp8EZGQSHngqy3DuATG4gujY7DHzH5vZmuCqDMdJhuLCdtd\naGbDZva5dNaXTomMhZldaWZvmNnbZvZiumtMlwT+j5SZ2f+a2ZujY5HI8cKsY2ZPmVnsROcqTTk3\nnXMpu+EP8u4HTgcKgDeBVcdscz3wS8CAi4A/pLKmoG4JjsUlwOzRr68L81hM2O43+EUBnwu67gB/\nL8qBd4Clo/fnBV13gGNxP/DI6NcVQBtQEHTtKRiLy4G1wN4TPD+l3Ez1Hr7aMoybdCycc793zrWP\n3n0Vfz5DLkrk9wLgHuAZIJbO4tIskbG4GdjinKsHcM7l6ngkMhYOKDUzA0rwgT+c3jJTzzm3Hf93\nO5Ep5WaqA/9ELRdOdZtccKp/z9vx7+C5aNKxMLNK4C/I/UZ8ifxerARmm9nvzGy3md2aturSK5Gx\n+C5wDnAQ2APc65yLp6e8jDKl3ExrawVJjJldhQ/8S4OuJUDfAb7mnIv7nblQywMuAK4GioBXzOxV\n59yfgi0rEJ8G3gA+AZwBvGBmLznnuoItKzukOvDVlmFcQn9PMzsfeBK4zjl3JE21pVsiY7EOeHo0\n7OcC15vZsHPu2fSUmDaJjEUjcMQ51wv0mtl2YA2Qa4GfyFjcBvyL8xPZ1WZWC5wNvJaeEjPGlHIz\n1VM6asswbtKxMLOlwBbglhzfe5t0LJxzVc655c655cDPgC/nYNhDYv9HtgKXmlmemRXju9XuS3Od\n6ZDIWNTjP+lgZvPxnSNr0lplZphSbqZ0D9+lri1D1klwLB4A5gDfG92zHXY52CEwwbEIhUTGwjm3\nz8z+D3gLiANPOudyrrV4gr8XDwE/MrM9+BUqX3PO5VzbZDP7CXAlMNfMGoF/APJhermp1goiIiGh\nM21FREJCgS8iEhIKfBGRkFDgi4iEhAJfRCQkFPgiIiGhwBcRCYn/B7z1NrTn3CazAAAAAElFTkSu\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1915af12630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "rect = plt.Rectangle((0.2, 0.75), 0.4, 0.15, color='k', alpha=0.3)\n",
    "circ = plt.Circle((0.7, 0.2), 0.15, color='b', alpha=0.3)\n",
    "pgon = plt.Polygon([[0.15, 0.15], [0.35, 0.4], [0.2, 0.6]], color='g', alpha=0.5)\n",
    "ax.add_patch(rect)\n",
    "ax.add_patch(circ)\n",
    "ax.add_patch(pgon)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 将图表保存到文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAD8CAYAAACMwORRAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nchcRCUP/B6O1t9p03tPNAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1915ae4df60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "plt.plot([1, 2, 3, 4, 5])\n",
    "plt.savefig('sample.png', dpi=400, bbox_inches='tight') # dpi为分辨率（每英寸点数）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 也可以写到buffer对象\n",
    "# from io import StringIO\n",
    "# buffer = StringIO()\n",
    "# plt.savefig(buffer)\n",
    "# plot_data = buffer.getvalue()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# savefig的选项：      \n",
    "# fname：              含有文件路径的字符串或Python的文件类型对象。\n",
    "#                      图像格式由文件扩展名推断得出。\n",
    "# dpi\n",
    "# facecolor/edgecolor：图像背景色，默认为'w'（白色）\n",
    "# format\n",
    "# bbox_inches：        图像需要保存的部分。\n",
    "#                      如果设置为'tight'，则将尝试剪除图表周围的空白部分。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# matplotlib配置（太少用到了，自己查书吧...）"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
